[CourseClub.Me]Coursera – Deep Learning Specialization -移花宫-武林禁地，闲人禁止入内

[CourseClub.Me]Coursera – Deep Learning Specialization

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[CourseClub.Me]Coursera – Deep Learning Specialization

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种子哈希：91284da8f3b4297ba808b7c16633732c4dedb52c
文件大小： 3.46G
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收录时间：2022-01-29
最近下载：2026-05-18
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文件列表

Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.mp4 201.1 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 12 - Yann LeCun Interview.mp4 175.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 15 - Yoshua Bengio Interview.mp4 119.7 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 24 - Ruslan Salakhutdinov Interview.mp4 108.6 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 13 - Andrej Karpathy Interview.mp4 88.1 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 25 - Pieter Abbeel Interview.mp4 83.9 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 26 - Yuanqing Lin Interview.mp4 67.4 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 37 - Ian Goodfellow Interview.mp4 57.2 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 21 - Multi-task Learning.mp4 30.4 MB
Coursera - Sequence Models/nlp-sequence-models - 28 - Bleu Score (Optional).mp4 29.6 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 18 - Bias and Variance with Mismatched Data Distributions.mp4 29.4 MB
Coursera - Sequence Models/nlp-sequence-models - 09 - Gated Recurrent Unit (GRU).mp4 28.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 14 - Classic Networks.mp4 28.0 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 15 - Cleaning Up Incorrectly Labeled Data.mp4 27.9 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 35 - Backpropagation Intuition (Optional).mp4 27.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 31 - Bounding Box Predictions.mp4 27.1 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 20 - MobileNet.mp4 26.7 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 44 - Triplet Loss.mp4 26.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 37 - TensorFlow.mp4 26.2 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 07 - One Layer of a Convolutional Network.mp4 24.9 MB
Coursera - Sequence Models/nlp-sequence-models - 34 - Self-Attention.mp4 24.7 MB
Coursera - Sequence Models/nlp-sequence-models - 03 - Recurrent Neural Network Model.mp4 24.5 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 32 - Why does Batch Norm work.mp4 24.0 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 20 - Transfer Learning.mp4 23.3 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 14 - Derivatives with a Computation Graph.mp4 22.7 MB
Coursera - Sequence Models/nlp-sequence-models - 36 - Transformer Network.mp4 22.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 31 - Fitting Batch Norm into a Neural Network.mp4 21.7 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 02 - Orthogonalization.mp4 21.2 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 07 - When to Change Dev Test Sets and Metrics.mp4 21.0 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 31 - Activation Functions.mp4 20.9 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 43 - Forward and Backward Propagation.mp4 20.8 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 10 - CNN Example.mp4 20.7 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 27 - Object Localization.mp4 20.3 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.mp4 20.2 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 50 - Style Cost Function.mp4 20.2 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 22 - What is End-to-end Deep Learning.mp4 20.0 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 14 - Carrying Out Error Analysis.mp4 19.9 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 17 - Training and Testing on Different Distributions.mp4 19.8 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 10 - Understanding Human-level Performance.mp4 19.8 MB
Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).mp4 19.7 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 04 - Why is Deep Learning taking off.mp4 19.6 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.mp4 19.5 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 26 - State of Computer Vision.mp4 19.4 MB
Coursera - Sequence Models/nlp-sequence-models - 18 - Word2Vec.mp4 19.3 MB
Coursera - Sequence Models/nlp-sequence-models - 30 - Attention Model.mp4 19.2 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 19 - Addressing Data Mismatch.mp4 18.8 MB
Coursera - Sequence Models/nlp-sequence-models - 19 - Negative Sampling.mp4 18.8 MB
Coursera - Sequence Models/nlp-sequence-models - 25 - Beam Search.mp4 18.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 17 - Understanding Mini-batch Gradient Descent.mp4 18.6 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.mp4 18.5 MB
Coursera - Sequence Models/nlp-sequence-models - 06 - Language Model and Sequence Generation.mp4 18.5 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 41 - Why Deep Representations.mp4 18.4 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 23 - Whether to use End-to-end Deep Learning.mp4 18.4 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 34 - Softmax Regression.mp4 18.4 MB
Coursera - Sequence Models/nlp-sequence-models - 15 - Properties of Word Embeddings.mp4 18.2 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.mp4 18.2 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 10 - Gradient Descent.mp4 17.9 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 01 - Train Dev Test sets.mp4 17.6 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.mp4 17.6 MB
Coursera - Sequence Models/nlp-sequence-models - 22 - Debiasing Word Embeddings.mp4 17.5 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.mp4 17.3 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 28 - Computing a Neural Network's Output.mp4 17.1 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 21 - Broadcasting in Python.mp4 17.0 MB
Coursera - Sequence Models/nlp-sequence-models - 17 - Learning Word Embeddings.mp4 16.8 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 34 - Gradient Descent for Neural Networks.mp4 16.8 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 02 - Edge Detection Example.mp4 16.7 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 11 - Why Convolutions.mp4 16.6 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.mp4 16.6 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 18 - Inception Network Motivation.mp4 16.5 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 30 - Normalizing Activations in a Network.mp4 16.4 MB
Coursera - Sequence Models/nlp-sequence-models - 26 - Refinements to Beam Search.mp4 16.4 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 19 - Understanding Exponentially Weighted Averages.mp4 16.4 MB
Coursera - Sequence Models/nlp-sequence-models - 20 - GloVe Word Vectors.mp4 16.3 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.mp4 16.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 24 - Transfer Learning.mp4 16.2 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.mp4 16.0 MB
Coursera - Sequence Models/nlp-sequence-models - 13 - Word Representation.mp4 16.0 MB
Coursera - Sequence Models/nlp-sequence-models - 35 - Multi-Head Attention.mp4 15.9 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 37 - Semantic Segmentation with U-Net.mp4 15.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.mp4 15.8 MB
Coursera - Sequence Models/nlp-sequence-models - 27 - Error Analysis in Beam Search.mp4 15.7 MB
Coursera - Sequence Models/nlp-sequence-models - 05 - Different Types of RNNs.mp4 15.6 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 16 - Why ResNets Work.mp4 15.6 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.mp4 15.5 MB
Coursera - Sequence Models/nlp-sequence-models - 29 - Attention Model Intuition.mp4 15.5 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 06 - Convolutions Over Volume.mp4 15.5 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 47 - What are deep ConvNets learning.mp4 15.4 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 21 - MobileNet Architecture.mp4 15.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 41 - What is Face Recognition.mp4 15.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 35 - Training a Softmax Classifier.mp4 15.0 MB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.mp4 14.9 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.mp4 14.9 MB
Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.mp4 14.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.mp4 14.8 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.mp4 14.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.mp4 14.8 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 04 - Padding.mp4 14.7 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.mp4 14.5 MB
Coursera - Sequence Models/nlp-sequence-models - 14 - Using Word Embeddings.mp4 14.4 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 09 - Pooling Layers.mp4 14.4 MB
Coursera - Sequence Models/nlp-sequence-models - 07 - Sampling Novel Sequences.mp4 14.4 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.mp4 14.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 23 - Using Open-Source Implementation.mp4 14.2 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.mp4 14.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 02 - Bias Variance.mp4 14.0 MB
Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.mp4 14.0 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.mp4 13.8 MB
Coursera - Sequence Models/nlp-sequence-models - 02 - Notation.mp4 13.7 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.mp4 13.7 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 06 - Dropout Regularization.mp4 13.7 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.mp4 13.7 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 38 - Transpose Convolutions.mp4 13.6 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.mp4 13.5 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.mp4 13.5 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.mp4 13.4 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 40 - U-Net Architecture.mp4 13.3 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.mp4 13.2 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.mp4 13.1 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.mp4 13.0 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.mp4 13.0 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.mp4 13.0 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 16 - Build your First System Quickly, then Iterate.mp4 12.8 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.mp4 12.8 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.mp4 12.8 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).mp4 12.7 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.mp4 12.6 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.mp4 12.5 MB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.mp4 12.5 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.mp4 12.4 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 08 - Other Regularization Methods.mp4 12.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.mp4 12.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 29 - Hyperparameters Tuning in Practice Pandas vs. Caviar.mp4 12.1 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.mp4 12.1 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.mp4 12.0 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.mp4 11.9 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.mp4 11.8 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.mp4 11.8 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 15 - Logistic Regression Gradient Descent.mp4 11.7 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.mp4 11.6 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 05 - Train Dev Test Distributions.mp4 11.5 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.mp4 11.5 MB
Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.mp4 11.4 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 01 - Computer Vision.mp4 11.4 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 07 - Understanding Dropout.mp4 11.3 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.mp4 11.2 MB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.mp4 11.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 12 - Numerical Approximation of Gradients.mp4 11.1 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 24 - Explanation of Logistic Regression Cost Function (Optional).mp4 11.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.mp4 10.9 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.mp4 10.9 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.mp4 10.8 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.mp4 10.8 MB
Coursera - Sequence Models/nlp-sequence-models - 33 - Transformer Network Intuition.mp4 10.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.mp4 10.7 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.mp4 10.7 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 01 - Welcome.mp4 10.7 MB
Coursera - Sequence Models/nlp-sequence-models - 23 - Basic Models.mp4 10.7 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.mp4 10.6 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 36 - Deep Learning Frameworks.mp4 10.5 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.mp4 10.5 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.mp4 10.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.mp4 10.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.mp4 10.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.mp4 10.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 13 - Gradient Checking.mp4 10.1 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.mp4 9.8 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 32 - Why do you need Non-Linear Activation Functions.mp4 9.7 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 23 - Quick tour of Jupyter iPython Notebooks.mp4 9.7 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 12 - Improving your Model Performance.mp4 9.6 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.mp4 9.6 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 20 - Bias Correction in Exponentially Weighted Averages.mp4 9.5 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 22 - EfficientNet.mp4 9.5 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.mp4 9.4 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.mp4 9.3 MB
Coursera - Sequence Models/nlp-sequence-models - 16 - Embedding Matrix.mp4 9.1 MB
Coursera - Sequence Models/nlp-sequence-models - 12 - Deep RNNs.mp4 9.0 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.mp4 8.9 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.mp4 8.7 MB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 01 - Why ML Strategy.mp4 8.6 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 13 - Why look at case studies.mp4 8.3 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 43 - Siamese Network.mp4 7.9 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 42 - One Shot Learning.mp4 7.8 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 26 - Neural Networks Overview.mp4 7.6 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 32 - Intersection Over Union.mp4 7.6 MB
Coursera - Sequence Models/nlp-sequence-models - 32 - Trigger Word Detection.mp4 7.4 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 48 - Cost Function.mp4 7.0 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 39 - U-Net Architecture Intuition.mp4 6.3 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 45 - What does this have to do with the brain.mp4 6.3 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 13 - Computation Graph.mp4 5.9 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 49 - Content Cost Function.mp4 5.9 MB
Coursera - Sequence Models/nlp-sequence-models - 01 - Why Sequence Models.mp4 5.5 MB
Coursera - Sequence Models/nlp-sequence-models - 37 - Conclusion and Thank You!.mp4 5.5 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 05 - About this Course.mp4 4.9 MB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 46 - What is Neural Style Transfer.mp4 4.8 MB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.hi.srt 114.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.ru.srt 90.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.ar.srt 79.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.vi.srt 73.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.zh-CN.srt 68.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.fr.srt 68.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.ko.srt 67.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.ja.srt 64.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.de.srt 64.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.pt-BR.srt 64.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.es.srt 63.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 12 - Yann LeCun Interview.ru.srt 62.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.pt-PT.srt 62.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.it.srt 62.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.tr.srt 61.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.en.srt 58.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 12 - Yann LeCun Interview.ar.srt 54.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 15 - Yoshua Bengio Interview.ru.srt 53.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.zh-TW.srt 50.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 12 - Yann LeCun Interview.vi.srt 50.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 12 - Yann LeCun Interview.ko.srt 48.2 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.fr.srt 14.7 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 35 - Training a Softmax Classifier.pt-PT.srt 14.7 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.es.srt 14.7 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.fr.srt 14.5 kB
Coursera - Sequence Models/nlp-sequence-models - 14 - Using Word Embeddings.pt-PT.srt 14.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 28 - Computing a Neural Network's Output.pt-BR.srt 14.5 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 19 - Understanding Exponentially Weighted Averages.it.srt 14.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.ru.srt 14.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 14 - Derivatives with a Computation Graph.zh-TW.srt 14.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.de.srt 14.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 21 - Broadcasting in Python.he.srt 14.5 kB
Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.vi.srt 14.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.vi.srt 14.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.ko.srt 14.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 21 - Broadcasting in Python.ja.srt 14.5 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 31 - Fitting Batch Norm into a Neural Network.zh-TW.srt 14.4 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 01 - Computer Vision.ru.srt 14.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.ru.srt 14.4 kB
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Coursera - Sequence Models/nlp-sequence-models - 14 - Using Word Embeddings.it.srt 14.4 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.pt-BR.srt 14.4 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 11 - Why Convolutions.ja.srt 14.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.pt-PT.srt 14.4 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.ru.srt 14.4 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.ko.srt 14.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.pt-BR.srt 14.4 kB
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Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.vi.srt 14.3 kB
Coursera - Sequence Models/nlp-sequence-models - 05 - Different Types of RNNs.de.srt 14.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 11 - Why Convolutions.it.srt 14.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 43 - Forward and Backward Propagation.it.srt 14.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 18 - Inception Network Motivation.de.srt 14.3 kB
Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).es.srt 14.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 06 - Convolutions Over Volume.ja.srt 14.2 kB
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Coursera - Sequence Models/nlp-sequence-models - 05 - Different Types of RNNs.fr.srt 14.2 kB
Coursera - Sequence Models/nlp-sequence-models - 14 - Using Word Embeddings.tr.srt 14.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.it.srt 14.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 28 - Computing a Neural Network's Output.ja.srt 14.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.it.srt 14.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.ko.srt 14.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 13 - Gradient Checking.ru.srt 14.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.tr.srt 14.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 06 - Dropout Regularization.en.srt 14.2 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 08 - Other Regularization Methods.es.srt 14.2 kB
Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).de.srt 14.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.ja.srt 14.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.fr.srt 14.1 kB
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Coursera - Sequence Models/nlp-sequence-models - 29 - Attention Model Intuition.ko.srt 14.1 kB
Coursera - Sequence Models/nlp-sequence-models - 05 - Different Types of RNNs.tr.srt 14.1 kB
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Coursera - Sequence Models/nlp-sequence-models - 22 - Debiasing Word Embeddings.zh-TW.srt 14.0 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.uk.srt 14.0 kB
Coursera - Sequence Models/nlp-sequence-models - 26 - Refinements to Beam Search.en.srt 14.0 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.ar.srt 14.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 16 - Why ResNets Work.vi.srt 14.0 kB
Coursera - Sequence Models/nlp-sequence-models - 17 - Learning Word Embeddings.zh-TW.srt 14.0 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 19 - Understanding Exponentially Weighted Averages.en.srt 14.0 kB
Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).fr.srt 14.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 08 - Other Regularization Methods.pt-BR.srt 14.0 kB
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Coursera - Sequence Models/nlp-sequence-models - 17 - Learning Word Embeddings.zh-CN.srt 14.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 06 - Convolutions Over Volume.en.srt 14.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.ar.srt 14.0 kB
Coursera - Sequence Models/nlp-sequence-models - 27 - Error Analysis in Beam Search.tr.srt 14.0 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 19 - Understanding Exponentially Weighted Averages.tr.srt 14.0 kB
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Coursera - Sequence Models/nlp-sequence-models - 05 - Different Types of RNNs.ko.srt 13.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.pt-PT.srt 13.9 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 18 - Inception Network Motivation.it.srt 13.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 41 - Why Deep Representations.zh-CN.srt 13.9 kB
Coursera - Sequence Models/nlp-sequence-models - 29 - Attention Model Intuition.es.srt 13.9 kB
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Coursera - Sequence Models/nlp-sequence-models - 07 - Sampling Novel Sequences.vi.srt 13.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.tr.srt 13.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 18 - Inception Network Motivation.fr.srt 13.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.ar.srt 13.8 kB
Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).it.srt 13.8 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.vi.srt 13.8 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 02 - Bias Variance.zh-CN.srt 13.7 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 10 - CNN Example.zh-CN.srt 13.7 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.pt-BR.srt 13.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.ja.srt 13.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.ko.srt 13.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.de.srt 13.7 kB
Coursera - Sequence Models/nlp-sequence-models - 29 - Attention Model Intuition.pt-PT.srt 13.7 kB
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Coursera - Sequence Models/nlp-sequence-models - 27 - Error Analysis in Beam Search.fr.srt 13.7 kB
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Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.de.srt 13.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 24 - Transfer Learning.ko.srt 13.6 kB
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Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.ko.srt 13.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.es.srt 13.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.ar.srt 13.6 kB
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Coursera - Sequence Models/nlp-sequence-models - 27 - Error Analysis in Beam Search.pt-PT.srt 13.6 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 08 - Other Regularization Methods.tr.srt 13.6 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 23 - Whether to use End-to-end Deep Learning.zh-CN.srt 13.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 18 - Inception Network Motivation.ja.srt 13.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 06 - Convolutions Over Volume.fr.srt 13.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 14 - Derivatives with a Computation Graph.zh-CN.srt 13.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 04 - Padding.ko.srt 13.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 06 - Convolutions Over Volume.tr.srt 13.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.zh-CN.srt 13.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.uk.srt 13.6 kB
Coursera - Sequence Models/nlp-sequence-models - 30 - Attention Model.zh-CN.srt 13.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.de.srt 13.6 kB
Coursera - Sequence Models/nlp-sequence-models - 29 - Attention Model Intuition.it.srt 13.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 31 - Activation Functions.ja.srt 13.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.vi.srt 13.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.ko.srt 13.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.it.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.fr.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 18 - Inception Network Motivation.tr.srt 13.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.pt-BR.srt 13.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 01 - Welcome.ru.srt 13.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.vi.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 27 - Object Localization.zh-CN.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.tr.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.ko.srt 13.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.ja.srt 13.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.ru.srt 13.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.pt-PT.srt 13.5 kB
Coursera - Sequence Models/nlp-sequence-models - 30 - Attention Model.zh-TW.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 04 - Padding.pt-PT.srt 13.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 15 - Logistic Regression Gradient Descent.ru.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 04 - Padding.tr.srt 13.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 11 - Why Convolutions.en.srt 13.5 kB
Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).en.srt 13.5 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 14 - Carrying Out Error Analysis.zh-TW.srt 13.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 34 - Softmax Regression.zh-TW.srt 13.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.ru.srt 13.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.de.srt 13.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 10 - Gradient Descent.zh-TW.srt 13.4 kB
Coursera - Sequence Models/nlp-sequence-models - 13 - Word Representation.zh-TW.srt 13.4 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 10 - Understanding Human-level Performance.zh-TW.srt 13.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.ko.srt 13.4 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 07 - When to Change Dev Test Sets and Metrics.zh-TW.srt 13.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.it.srt 13.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.fr.srt 13.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 08 - Other Regularization Methods.fr.srt 13.4 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 10 - Understanding Human-level Performance.zh-CN.srt 13.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 07 - Understanding Dropout.vi.srt 13.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.es.srt 13.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.vi.srt 13.4 kB
Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.fr.srt 13.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.en.srt 13.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 04 - Padding.it.srt 13.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.es.srt 13.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.ar.srt 13.3 kB
Coursera - Sequence Models/nlp-sequence-models - 29 - Attention Model Intuition.en.srt 13.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 09 - Pooling Layers.zh-CN.srt 13.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.en.srt 13.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 24 - Explanation of Logistic Regression Cost Function (Optional).ru.srt 13.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 14 - Carrying Out Error Analysis.zh-CN.srt 13.3 kB
Coursera - Sequence Models/nlp-sequence-models - 20 - GloVe Word Vectors.zh-CN.srt 13.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 18 - Inception Network Motivation.en.srt 13.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.tr.srt 13.3 kB
Coursera - Sequence Models/nlp-sequence-models - 15 - Properties of Word Embeddings.zh-CN.srt 13.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.pt-PT.srt 13.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.ja.srt 13.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 34 - Gradient Descent for Neural Networks.es.srt 13.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 24 - Transfer Learning.ja.srt 13.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.ru.srt 13.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.tr.srt 13.2 kB
Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.ko.srt 13.2 kB
Coursera - Sequence Models/nlp-sequence-models - 05 - Different Types of RNNs.en.srt 13.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.en.srt 13.2 kB
Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.es.srt 13.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 17 - Understanding Mini-batch Gradient Descent.zh-TW.srt 13.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.ar.srt 13.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 19 - Addressing Data Mismatch.zh-TW.srt 13.2 kB
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Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.de.srt 13.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 47 - What are deep ConvNets learning.ko.srt 13.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.fr.srt 13.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 35 - Training a Softmax Classifier.tr.srt 13.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 28 - Computing a Neural Network's Output.tr.srt 13.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 16 - Why ResNets Work.ko.srt 13.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 30 - Normalizing Activations in a Network.ko.srt 13.2 kB
Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.pt-PT.srt 13.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 19 - Addressing Data Mismatch.zh-CN.srt 13.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.ru.srt 13.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.vi.srt 13.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.uk.srt 13.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.de.srt 13.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.it.srt 13.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 27 - Object Localization.zh-TW.srt 13.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.ko.srt 13.1 kB
Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.es.srt 13.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.uk.srt 13.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.fr.srt 13.1 kB
Coursera - Sequence Models/nlp-sequence-models - 15 - Properties of Word Embeddings.zh-TW.srt 13.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.en.srt 13.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.it.srt 13.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.pt-PT.srt 13.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.pt-PT.srt 13.1 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.vi.srt 13.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 31 - Activation Functions.zh-CN.srt 13.1 kB
Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).tr.srt 13.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.ar.srt 13.1 kB
Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.it.srt 13.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 41 - Why Deep Representations.zh-TW.srt 13.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.ja.srt 13.1 kB
Coursera - Sequence Models/nlp-sequence-models - 14 - Using Word Embeddings.en.srt 13.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.ko.srt 13.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.tr.srt 13.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 09 - Pooling Layers.zh-TW.srt 13.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.ar.srt 13.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.es.srt 13.0 kB
Coursera - Sequence Models/nlp-sequence-models - 07 - Sampling Novel Sequences.ja.srt 13.0 kB
Coursera - Sequence Models/nlp-sequence-models - 13 - Word Representation.zh-CN.srt 13.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.tr.srt 13.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.lt.srt 13.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.it.srt 13.0 kB
Coursera - Sequence Models/nlp-sequence-models - 27 - Error Analysis in Beam Search.en.srt 13.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.ar.srt 13.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.ar.srt 13.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 06 - Convolutions Over Volume.zh-CN.srt 13.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 34 - Gradient Descent for Neural Networks.fr.srt 13.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.ar.srt 13.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.ar.srt 13.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.vi.srt 13.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.vi.srt 13.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.ru.srt 12.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.uk.srt 12.9 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 17 - Training and Testing on Different Distributions.zh-TW.srt 12.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.ru.srt 12.9 kB
Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.tr.srt 12.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.vi.srt 12.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.ja.srt 12.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 02 - Edge Detection Example.zh-CN.srt 12.9 kB
Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.ko.srt 12.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 43 - Forward and Backward Propagation.ja.srt 12.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 08 - Other Regularization Methods.en.srt 12.9 kB
Coursera - Sequence Models/nlp-sequence-models - 22 - Debiasing Word Embeddings.zh-CN.srt 12.9 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.fr.srt 12.0 kB
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Coursera - Sequence Models/nlp-sequence-models - 29 - Attention Model Intuition.zh-TW.srt 11.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.de.srt 11.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.es.srt 11.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 34 - Gradient Descent for Neural Networks.zh-CN.srt 11.9 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.zh-CN.srt 11.9 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 07 - Understanding Dropout.pt-BR.srt 11.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.ja.srt 11.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 07 - Understanding Dropout.it.srt 11.9 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.ru.srt 11.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).vi.srt 11.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.tr.srt 11.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.uk.srt 11.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.uk.srt 11.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.vi.srt 11.8 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.tr.srt 11.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 11 - Why Convolutions.zh-CN.srt 11.8 kB
Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.ja.srt 11.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.vi.srt 11.8 kB
Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.en.srt 11.8 kB
Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.ka.srt 11.8 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.pt-BR.srt 11.8 kB
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Coursera - Sequence Models/nlp-sequence-models - 35 - Multi-Head Attention.en.srt 11.8 kB
Coursera - Sequence Models/nlp-sequence-models - 14 - Using Word Embeddings.zh-CN.srt 11.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.zh-CN.srt 11.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.ja.srt 11.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.fr.srt 11.8 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.zh-TW.srt 11.7 kB
Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.en.srt 11.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.pt-PT.srt 11.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.en.srt 11.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.ko.srt 11.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.ru.srt 11.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.vi.srt 11.7 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.it.srt 11.6 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.en.srt 11.6 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.es.srt 11.6 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 11 - Why Convolutions.zh-TW.srt 11.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.ko.srt 11.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.ko.srt 11.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 35 - Training a Softmax Classifier.zh-CN.srt 11.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.it.srt 11.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.fr.srt 11.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.es.srt 11.6 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 12 - More Derivative Examples.zh-TW.srt 11.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.es.srt 11.6 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.de.srt 11.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.it.srt 11.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.fr.srt 11.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 24 - Transfer Learning.en.srt 11.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.pt-PT.srt 11.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.zh-CN.srt 11.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.zh-TW.srt 11.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.ko.srt 11.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 13 - Gradient Checking.vi.srt 11.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.it.srt 11.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 07 - Understanding Dropout.fr.srt 11.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.pt-PT.srt 11.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 37 - Semantic Segmentation with U-Net.en.srt 11.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.ja.srt 11.5 kB
Coursera - Sequence Models/nlp-sequence-models - 05 - Different Types of RNNs.zh-TW.srt 11.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.es.srt 11.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.vi.srt 11.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.it.srt 11.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 24 - Explanation of Logistic Regression Cost Function (Optional).uk.srt 11.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.ko.srt 11.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.ko.srt 11.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.fr.srt 11.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.de.srt 11.5 kB
Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.zh-CN.srt 11.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 30 - Normalizing Activations in a Network.en.srt 11.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.es.srt 11.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.tr.srt 11.4 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.es.srt 11.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.de.srt 11.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.vi.srt 11.4 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.ko.srt 11.4 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 16 - Build your First System Quickly, then Iterate.ar.srt 11.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.de.srt 11.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.he.srt 11.4 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.vi.srt 11.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 24 - Explanation of Logistic Regression Cost Function (Optional).ar.srt 11.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.tr.srt 11.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.it.srt 11.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.tr.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.fr.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.it.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.pt-PT.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.ja.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.pt-PT.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.ja.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.ar.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.ja.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 01 - Welcome.vi.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.fr.srt 11.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.ru.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.de.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.en.srt 11.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.zh-CN.srt 11.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.ko.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.it.srt 11.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 05 - Train Dev Test Distributions.en.srt 11.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 08 - Other Regularization Methods.zh-CN.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 04 - Padding.zh-CN.srt 11.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.vi.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.tr.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.ko.srt 11.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.ko.srt 11.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.en.srt 11.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.vi.srt 11.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.tr.srt 11.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.zh-TW.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.de.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.tr.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.ko.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 34 - Gradient Descent for Neural Networks.zh-TW.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.vi.srt 11.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.ar.srt 11.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.en.srt 11.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.pt-PT.srt 11.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.fr.srt 11.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 47 - What are deep ConvNets learning.en.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.es.srt 11.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.ar.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.es.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.ko.srt 11.2 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.ja.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.en.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 23 - Quick tour of Jupyter iPython Notebooks.hi.srt 11.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.de.srt 11.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.fr.srt 11.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 12 - Numerical Approximation of Gradients.vi.srt 11.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 07 - Understanding Dropout.en.srt 11.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 01 - Computer Vision.vi.srt 11.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.ja.srt 11.1 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.ar.srt 11.1 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.fr.srt 11.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.ru.srt 11.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.en.srt 11.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 16 - Why ResNets Work.tr.srt 11.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.ko.srt 11.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.fr.srt 11.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.de.srt 11.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.en.srt 11.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.de.srt 11.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.zh-CN.srt 11.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.ar.srt 11.1 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.pt-PT.srt 11.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).ko.srt 11.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.tr.srt 11.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.tr.srt 11.0 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.it.srt 11.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 16 - Build your First System Quickly, then Iterate.vi.srt 11.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.ar.srt 11.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 36 - Deep Learning Frameworks.ru.srt 11.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.pt-PT.srt 11.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.es.srt 11.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.es.srt 11.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.de.srt 11.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.tr.srt 11.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 19 - Inception Network.en.srt 11.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.en.srt 11.0 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.zh-TW.srt 11.0 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.tr.srt 11.0 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 41 - What is Face Recognition.ru.srt 10.9 kB
Coursera - Sequence Models/nlp-sequence-models - 24 - Picking the Most Likely Sentence.zh-TW.srt 10.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.es.srt 10.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 33 - Non-max Suppression.zh-CN.srt 10.9 kB
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Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.zh-TW.srt 10.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.pt-BR.srt 10.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.it.srt 10.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.de.srt 10.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.ko.srt 10.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.es.srt 10.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.zh-TW.srt 10.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.ko.srt 10.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.tr.srt 10.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.pt-BR.srt 10.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.fr.srt 10.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 04 - Padding.zh-TW.srt 10.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.it.srt 10.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.de.srt 10.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 38 - Transpose Convolutions.en.srt 10.9 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.de.srt 10.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 23 - Using Open-Source Implementation.ru.srt 10.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.ja.srt 10.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.es.srt 10.8 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.vi.srt 10.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.en.srt 10.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.ko.srt 10.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 01 - Computer Vision.ko.srt 10.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.en.srt 10.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.vi.srt 10.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.tr.srt 10.8 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.ko.srt 10.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.it.srt 10.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.pt-BR.srt 10.8 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 25 - Data Augmentation.zh-TW.srt 10.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.ja.srt 10.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 15 - Logistic Regression Gradient Descent.ko.srt 10.8 kB
Coursera - Sequence Models/nlp-sequence-models - 16 - Embedding Matrix.ru.srt 10.8 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.pt-BR.srt 10.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.ja.srt 10.8 kB
Coursera - Sequence Models/nlp-sequence-models - 21 - Sentiment Classification.zh-CN.srt 10.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.tr.srt 10.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.de.srt 10.8 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.fr.srt 10.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.fr.srt 10.7 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.ja.srt 10.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).fr.srt 10.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).ja.srt 10.7 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.it.srt 10.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.tr.srt 10.7 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.it.srt 10.7 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 13 - Gradient Checking.ko.srt 10.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.ja.srt 10.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.de.srt 10.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).de.srt 10.7 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 03 - Basic Recipe for Machine Learning.en.srt 10.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.uk.srt 10.7 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.ko.srt 10.7 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.pt-PT.srt 10.7 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.ar.srt 10.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.it.srt 10.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.el.srt 10.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.vi.srt 10.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 47 - What are deep ConvNets learning.zh-CN.srt 10.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.ar.srt 10.6 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.es.srt 10.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.fr.srt 10.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.pt-PT.srt 10.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.en.srt 10.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 04 - Regularization.zh-CN.srt 10.6 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.es.srt 10.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.ja.srt 10.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.en.srt 10.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.pt-PT.srt 10.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.vi.srt 10.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.es.srt 10.6 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.en.srt 10.6 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.ar.srt 10.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.vi.srt 10.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.pt-PT.srt 10.6 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.es.srt 10.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.pt-BR.srt 10.5 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.fr.srt 10.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.it.srt 10.5 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.it.srt 10.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.vi.srt 10.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.ar.srt 10.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.pt-PT.srt 10.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 42 - One Shot Learning.ru.srt 10.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.tr.srt 10.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 15 - Logistic Regression Gradient Descent.vi.srt 10.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.ar.srt 10.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.pt-PT.srt 10.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.vi.srt 10.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.it.srt 10.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 16 - Why ResNets Work.zh-CN.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.it.srt 10.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.zh-CN.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 01 - Welcome.fr.srt 10.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.vi.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 36 - Random Initialization.zh-CN.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.es.srt 10.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).es.srt 10.4 kB
Coursera - Sequence Models/nlp-sequence-models - 02 - Notation.zh-CN.srt 10.4 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.ar.srt 10.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.fr.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.tr.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.zh-TW.srt 10.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.ar.srt 10.4 kB
Coursera - Sequence Models/nlp-sequence-models - 31 - Speech Recognition.zh-CN.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 01 - Welcome.ko.srt 10.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.ar.srt 10.4 kB
Coursera - Sequence Models/nlp-sequence-models - 12 - Deep RNNs.ru.srt 10.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 30 - Normalizing Activations in a Network.zh-TW.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.he.srt 10.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.uk.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.ja.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.ar.srt 10.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 16 - Build your First System Quickly, then Iterate.ko.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 51 - 1D and 3D Generalizations.zh-TW.srt 10.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.vi.srt 10.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.zh-CN.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).it.srt 10.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.en.srt 10.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.es.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.fr.srt 10.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.tr.srt 10.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.tr.srt 10.3 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.pt-PT.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.it.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).pt-PT.srt 10.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.vi.srt 10.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.ko.srt 10.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.es.srt 10.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.tr.srt 10.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.pt-PT.srt 10.3 kB
Coursera - Sequence Models/nlp-sequence-models - 07 - Sampling Novel Sequences.zh-TW.srt 10.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.ar.srt 10.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.pt-PT.srt 10.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 13 - Gradient Checking.es.srt 10.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.ja.srt 10.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.pt-BR.srt 10.2 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.it.srt 10.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.vi.srt 10.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.pt-PT.srt 10.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 47 - What are deep ConvNets learning.zh-TW.srt 10.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 24 - Transfer Learning.zh-TW.srt 10.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 16 - Why ResNets Work.zh-TW.srt 10.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.de.srt 10.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.ar.srt 10.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.en.srt 10.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.ko.srt 10.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.pt-PT.srt 10.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.ja.srt 10.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.en.srt 10.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 21 - Gradient Descent with Momentum.zh-CN.srt 10.2 kB
Coursera - Sequence Models/nlp-sequence-models - 11 - Bidirectional RNN.tr.srt 10.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.ko.srt 10.2 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.vi.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.de.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.zh-CN.srt 10.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.es.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.tr.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.tr.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.kk.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.mn.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.uk.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.zh-TW.srt 10.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 13 - Gradient Checking.de.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.fr.srt 10.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 01 - Computer Vision.ja.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.uk.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 02 - What is a Neural Network.en.srt 10.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.it.srt 10.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 40 - U-Net Architecture.en.srt 10.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.en.srt 10.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.fr.srt 10.1 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 24 - Transfer Learning.zh-CN.srt 10.1 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.tr.srt 9.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.ko.srt 9.6 kB
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Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.ko.srt 9.5 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 07 - Binary Classification.zh-TW.srt 9.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 12 - Numerical Approximation of Gradients.pt-BR.srt 9.5 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.pt-PT.srt 9.4 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 05 - Strided Convolutions.zh-TW.srt 9.4 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.es.srt 9.4 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 27 - Tuning Process.zh-TW.srt 9.4 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.ko.srt 9.3 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.it.srt 9.3 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.it.srt 9.2 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 03 - More Edge Detection.zh-TW.srt 9.2 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.en.srt 9.2 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.de.srt 9.2 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.es.srt 9.2 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.ko.srt 9.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.de.srt 9.2 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.pt-BR.srt 9.1 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.fr.srt 9.1 kB
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Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.en.srt 9.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.pt-BR.srt 9.1 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 08 - Simple Convolutional Network Example.zh-TW.srt 9.1 kB
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Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.es.srt 9.1 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.pt-PT.srt 9.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.fr.srt 9.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.zh-TW.srt 9.1 kB
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Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.fr.srt 9.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.zh-CN.srt 9.0 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.en.srt 9.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 12 - Numerical Approximation of Gradients.tr.srt 9.0 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.de.srt 9.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.es.srt 9.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.vi.srt 9.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.it.srt 9.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.pt-PT.srt 9.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.pt-BR.srt 9.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.ko.srt 9.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 41 - What is Face Recognition.ar.srt 9.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 11 - Derivatives.zh-CN.srt 9.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.fr.srt 9.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.de.srt 9.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.es.srt 9.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.de.srt 9.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.de.srt 9.0 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.tr.srt 9.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.de.srt 9.0 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.de.srt 8.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.es.srt 8.9 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.ko.srt 8.9 kB
Coursera - Sequence Models/nlp-sequence-models - 12 - Deep RNNs.ar.srt 8.9 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.pt-PT.srt 8.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.fr.srt 8.9 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.es.srt 8.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.fr.srt 8.9 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.tr.srt 8.9 kB
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Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.it.srt 8.9 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.en.srt 8.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.zh-TW.srt 8.9 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.pt-PT.srt 8.9 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.tr.srt 8.9 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.it.srt 8.9 kB
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Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 17 - Vectorization.zh-TW.srt 8.9 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.es.srt 8.9 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.tr.srt 8.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.zh-CN.srt 8.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.de.srt 8.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.pt-PT.srt 8.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 35 - YOLO Algorithm.zh-CN.srt 8.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.tr.srt 8.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.en.srt 8.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 42 - One Shot Learning.ar.srt 8.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.de.srt 8.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.es.srt 8.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.ko.srt 8.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.de.srt 8.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.ko.srt 8.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 32 - Intersection Over Union.ru.srt 8.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.pt-PT.srt 8.8 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.pt-PT.srt 8.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.fr.srt 8.8 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.de.srt 8.8 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 32 - Why do you need Non-Linear Activation Functions.ar.srt 8.8 kB
Coursera - Sequence Models/nlp-sequence-models - 16 - Embedding Matrix.vi.srt 8.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.es.srt 8.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 24 - Explanation of Logistic Regression Cost Function (Optional).en.srt 8.7 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.zh-CN.srt 8.7 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.it.srt 8.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.zh-CN.srt 8.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.ja.srt 8.7 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.pt-PT.srt 8.7 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.it.srt 8.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 36 - Region Proposals (Optional).zh-TW.srt 8.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.it.srt 8.7 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.zh-CN.srt 8.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.zh-TW.srt 8.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.en.srt 8.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.de.srt 8.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.fr.srt 8.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 26 - Neural Networks Overview.uk.srt 8.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.zh-CN.srt 8.7 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.es.srt 8.7 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.zh-TW.srt 8.6 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 16 - Build your First System Quickly, then Iterate.en.srt 8.6 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.it.srt 8.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.ko.srt 8.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 15 - ResNets.zh-TW.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.pt-BR.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.it.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.pt-BR.srt 8.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.pt-PT.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 22 - RMSprop.zh-CN.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 36 - Deep Learning Frameworks.ar.srt 8.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.pt-PT.srt 8.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 48 - Cost Function.ru.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.pt-PT.srt 8.6 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 12 - Improving your Model Performance.ar.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.es.srt 8.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 23 - Quick tour of Jupyter iPython Notebooks.ar.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.it.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.fr.srt 8.6 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.it.srt 8.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.ja.srt 8.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 26 - Neural Networks Overview.ru.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.es.srt 8.6 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.ko.srt 8.6 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.zh-CN.srt 8.6 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.zh-TW.srt 8.5 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.fr.srt 8.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 05 - Why Regularization Reduces Overfitting.zh-TW.srt 8.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 23 - Using Open-Source Implementation.vi.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.de.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.fr.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.tr.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.ja.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.it.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 05 - About this Course.hi.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.vi.srt 8.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.en.srt 8.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.it.srt 8.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.de.srt 8.5 kB
Coursera - Sequence Models/nlp-sequence-models - 23 - Basic Models.en.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.pt-BR.srt 8.5 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.fr.srt 8.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.tr.srt 8.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.pt-BR.srt 8.5 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.fr.srt 8.5 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.fr.srt 8.5 kB
Coursera - Sequence Models/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.zh-TW.srt 8.5 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.ja.srt 8.5 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.ja.srt 8.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 25 - The Problem of Local Optima.tr.srt 8.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.pt-PT.srt 8.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 10 - Vanishing Exploding Gradients.en.srt 8.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.fr.srt 8.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.zh-CN.srt 8.4 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.zh-TW.srt 8.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 41 - What is Face Recognition.vi.srt 8.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.fr.srt 8.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.tr.srt 8.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 33 - Batch Norm at Test Time.it.srt 8.4 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.pt-BR.srt 8.4 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.pt-PT.srt 8.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.tr.srt 8.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.en.srt 8.3 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.es.srt 8.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 24 - Learning Rate Decay.zh-CN.srt 8.3 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 01 - Computer Vision.zh-CN.srt 8.3 kB
Coursera - Sequence Models/nlp-sequence-models - 04 - Backpropagation Through Time.en.srt 8.3 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.pt-PT.srt 8.3 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 09 - Avoidable Bias.zh-TW.srt 8.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 03 - Single Number Evaluation Metric.zh-TW.srt 8.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.it.srt 8.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.zh-TW.srt 8.2 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.tr.srt 8.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 12 - Improving your Model Performance.vi.srt 8.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 08 - Why Human-level Performance.en.srt 8.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.es.srt 8.2 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 11 - Weight Initialization for Deep Networks.en.srt 8.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 04 - Satisficing and Optimizing Metric.en.srt 8.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 32 - Why do you need Non-Linear Activation Functions.ko.srt 8.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.es.srt 8.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 01 - Welcome.zh-CN.srt 8.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 27 - Neural Network Representation.tr.srt 8.2 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 11 - Surpassing Human-level Performance.zh-CN.srt 8.2 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.es.srt 8.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.ja.srt 8.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 09 - Normalizing Inputs.fr.srt 8.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 20 - Bias Correction in Exponentially Weighted Averages.ru.srt 8.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 23 - Quick tour of Jupyter iPython Notebooks.uk.srt 8.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 42 - One Shot Learning.vi.srt 8.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 18 - Exponentially Weighted Averages.zh-TW.srt 8.1 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 28 - Landmark Detection.fr.srt 8.1 kB
Coursera – Structuring Machine Learning Projects/machine-learning-projects - 06 - Size of the Dev and Test Sets.en.srt 8.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 18 - More Vectorization Examples.de.srt 8.1 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 13 - Gradient Checking.zh-CN.srt 8.1 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 01 - Welcome.zh-TW.srt 8.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 45 - Face Verification and Binary Classification.en.srt 8.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.zh-TW.srt 8.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 01 - Computer Vision.zh-TW.srt 8.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.it.srt 8.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.pt-PT.srt 8.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.it.srt 8.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.he.srt 8.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.af.srt 8.0 kB
Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 08 - Logistic Regression.tr.srt 8.0 kB
Coursera - Sequence Models/nlp-sequence-models - 12 - Deep RNNs.vi.srt 8.0 kB
Coursera – Convolutional Neural Networks/convolutional-neural-networks - 29 - Object Detection.en.srt 8.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 14 - Gradient Checking Implementation Notes.en.srt 8.0 kB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 23 - Adam Optimization Algorithm.zh-TW.srt 8.0 kB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 29 - Hyperparameters Tuning in Practice Pandas vs. Caviar.es.srt 0 Bytes
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 29 - Hyperparameters Tuning in Practice Pandas vs. Caviar.fr.srt 0 Bytes
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 29 - Hyperparameters Tuning in Practice Pandas vs. Caviar.ru.srt 0 Bytes
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[CourseClub.Me]Coursera – Deep Learning Specialization

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