Coursera – Deep Learning Specialization 2021-4

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Coursera – Deep Learning Specialization 2021-4

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文件列表

  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.mp4 201.1 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 12 - Yann LeCun Interview.mp4 175.0 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 15 - Yoshua Bengio Interview.mp4 119.7 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 24 - Ruslan Salakhutdinov Interview.mp4 108.6 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 13 - Andrej Karpathy Interview.mp4 88.1 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 25 - Pieter Abbeel Interview.mp4 83.9 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 26 - Yuanqing Lin Interview.mp4 67.4 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 37 - Ian Goodfellow Interview.mp4 57.2 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 21 - Multi-task Learning.mp4 30.4 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 28 - Bleu Score (Optional).mp4 29.6 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 18 - Bias and Variance with Mismatched Data Distributions.mp4 29.4 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 09 - Gated Recurrent Unit (GRU).mp4 28.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 14 - Classic Networks.mp4 28.0 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 15 - Cleaning Up Incorrectly Labeled Data.mp4 27.9 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 35 - Backpropagation Intuition (Optional).mp4 27.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 31 - Bounding Box Predictions.mp4 27.1 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 20 - MobileNet.mp4 26.7 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 44 - Triplet Loss.mp4 26.2 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 37 - TensorFlow.mp4 26.2 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 07 - One Layer of a Convolutional Network.mp4 24.9 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 34 - Self-Attention.mp4 24.7 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 03 - Recurrent Neural Network Model.mp4 24.5 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 32 - Why does Batch Norm work.mp4 24.0 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 20 - Transfer Learning.mp4 23.3 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 14 - Derivatives with a Computation Graph.mp4 22.7 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 36 - Transformer Network.mp4 22.2 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 31 - Fitting Batch Norm into a Neural Network.mp4 21.7 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 02 - Orthogonalization.mp4 21.2 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 07 - When to Change Dev Test Sets and Metrics.mp4 21.0 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 31 - Activation Functions.mp4 20.9 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 43 - Forward and Backward Propagation.mp4 20.8 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 10 - CNN Example.mp4 20.7 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 27 - Object Localization.mp4 20.3 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 16 - Mini-batch Gradient Descent.mp4 20.2 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 50 - Style Cost Function.mp4 20.2 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 22 - What is End-to-end Deep Learning.mp4 20.0 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 14 - Carrying Out Error Analysis.mp4 19.9 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 17 - Training and Testing on Different Distributions.mp4 19.8 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 10 - Understanding Human-level Performance.mp4 19.8 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).mp4 19.7 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 04 - Why is Deep Learning taking off.mp4 19.6 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 34 - Anchor Boxes.mp4 19.5 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 26 - State of Computer Vision.mp4 19.4 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 18 - Word2Vec.mp4 19.3 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 30 - Attention Model.mp4 19.2 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 19 - Addressing Data Mismatch.mp4 18.8 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 19 - Negative Sampling.mp4 18.8 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 25 - Beam Search.mp4 18.8 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 17 - Understanding Mini-batch Gradient Descent.mp4 18.6 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.mp4 18.5 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 06 - Language Model and Sequence Generation.mp4 18.5 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 41 - Why Deep Representations.mp4 18.4 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/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 2021-4/deep-neural-network - 34 - Softmax Regression.mp4 18.4 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 15 - Properties of Word Embeddings.mp4 18.2 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.mp4 18.2 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 10 - Gradient Descent.mp4 17.9 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 01 - Train Dev Test sets.mp4 17.6 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 12 - More Derivative Examples.mp4 17.6 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 22 - Debiasing Word Embeddings.mp4 17.5 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 25 - Data Augmentation.mp4 17.3 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 28 - Computing a Neural Network's Output.mp4 17.1 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 21 - Broadcasting in Python.mp4 17.0 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 17 - Learning Word Embeddings.mp4 16.8 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 34 - Gradient Descent for Neural Networks.mp4 16.8 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 02 - Edge Detection Example.mp4 16.7 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 11 - Why Convolutions.mp4 16.6 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.mp4 16.6 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 18 - Inception Network Motivation.mp4 16.5 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 30 - Normalizing Activations in a Network.mp4 16.4 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 26 - Refinements to Beam Search.mp4 16.4 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 19 - Understanding Exponentially Weighted Averages.mp4 16.4 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 20 - GloVe Word Vectors.mp4 16.3 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.mp4 16.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 24 - Transfer Learning.mp4 16.2 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 07 - Binary Classification.mp4 16.0 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 13 - Word Representation.mp4 16.0 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 35 - Multi-Head Attention.mp4 15.9 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 37 - Semantic Segmentation with U-Net.mp4 15.8 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 21 - Gradient Descent with Momentum.mp4 15.8 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 27 - Error Analysis in Beam Search.mp4 15.7 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 05 - Different Types of RNNs.mp4 15.6 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 16 - Why ResNets Work.mp4 15.6 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 19 - Inception Network.mp4 15.5 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 29 - Attention Model Intuition.mp4 15.5 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 06 - Convolutions Over Volume.mp4 15.5 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 47 - What are deep ConvNets learning.mp4 15.4 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 21 - MobileNet Architecture.mp4 15.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 41 - What is Face Recognition.mp4 15.0 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 35 - Training a Softmax Classifier.mp4 15.0 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 11 - Bidirectional RNN.mp4 14.9 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 04 - Regularization.mp4 14.9 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 24 - Picking the Most Likely Sentence.mp4 14.8 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 22 - RMSprop.mp4 14.8 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 51 - 1D and 3D Generalizations.mp4 14.8 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 24 - Learning Rate Decay.mp4 14.8 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 04 - Padding.mp4 14.7 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.mp4 14.5 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 14 - Using Word Embeddings.mp4 14.4 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 09 - Pooling Layers.mp4 14.4 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 07 - Sampling Novel Sequences.mp4 14.4 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 03 - Single Number Evaluation Metric.mp4 14.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 23 - Using Open-Source Implementation.mp4 14.2 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 11 - Derivatives.mp4 14.1 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 02 - Bias Variance.mp4 14.0 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 31 - Speech Recognition.mp4 14.0 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.mp4 13.8 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 02 - Notation.mp4 13.7 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 23 - Adam Optimization Algorithm.mp4 13.7 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 06 - Dropout Regularization.mp4 13.7 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.mp4 13.7 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 38 - Transpose Convolutions.mp4 13.6 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.mp4 13.5 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 05 - Strided Convolutions.mp4 13.5 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.mp4 13.4 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 40 - U-Net Architecture.mp4 13.3 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 17 - Vectorization.mp4 13.2 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 04 - Satisficing and Optimizing Metric.mp4 13.1 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 33 - Non-max Suppression.mp4 13.0 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.mp4 13.0 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 08 - Simple Convolutional Network Example.mp4 13.0 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 16 - Build your First System Quickly, then Iterate.mp4 12.8 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.mp4 12.8 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 03 - More Edge Detection.mp4 12.8 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 36 - Region Proposals (Optional).mp4 12.7 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.mp4 12.6 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 36 - Random Initialization.mp4 12.5 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.mp4 12.5 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 27 - Tuning Process.mp4 12.4 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 08 - Other Regularization Methods.mp4 12.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 28 - Landmark Detection.mp4 12.2 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 29 - Hyperparameters Tuning in Practice Pandas vs. Caviar.mp4 12.1 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 35 - YOLO Algorithm.mp4 12.1 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.mp4 12.0 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.mp4 11.9 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 06 - Size of the Dev and Test Sets.mp4 11.8 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 09 - Avoidable Bias.mp4 11.8 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 15 - Logistic Regression Gradient Descent.mp4 11.7 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 15 - ResNets.mp4 11.6 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 05 - Train Dev Test Distributions.mp4 11.5 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 08 - Why Human-level Performance.mp4 11.5 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 21 - Sentiment Classification.mp4 11.4 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 01 - Computer Vision.mp4 11.4 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 07 - Understanding Dropout.mp4 11.3 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 10 - Vanishing Exploding Gradients.mp4 11.2 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 04 - Backpropagation Through Time.mp4 11.2 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 12 - Numerical Approximation of Gradients.mp4 11.1 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/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 2021-4/deep-neural-network - 05 - Why Regularization Reduces Overfitting.mp4 10.9 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 11 - Surpassing Human-level Performance.mp4 10.9 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.mp4 10.8 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 18 - More Vectorization Examples.mp4 10.8 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 33 - Transformer Network Intuition.mp4 10.8 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 03 - Basic Recipe for Machine Learning.mp4 10.7 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.mp4 10.7 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 01 - Welcome.mp4 10.7 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 23 - Basic Models.mp4 10.7 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 11 - Weight Initialization for Deep Networks.mp4 10.6 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 36 - Deep Learning Frameworks.mp4 10.5 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 02 - What is a Neural Network.mp4 10.5 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 33 - Batch Norm at Test Time.mp4 10.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.mp4 10.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 45 - Face Verification and Binary Classification.mp4 10.2 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 18 - Exponentially Weighted Averages.mp4 10.1 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 13 - Gradient Checking.mp4 10.1 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 29 - Object Detection.mp4 9.8 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 32 - Why do you need Non-Linear Activation Functions.mp4 9.7 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 23 - Quick tour of Jupyter iPython Notebooks.mp4 9.7 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 12 - Improving your Model Performance.mp4 9.6 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 14 - Gradient Checking Implementation Notes.mp4 9.6 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 20 - Bias Correction in Exponentially Weighted Averages.mp4 9.5 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 22 - EfficientNet.mp4 9.5 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 25 - The Problem of Local Optima.mp4 9.4 MB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 09 - Normalizing Inputs.mp4 9.3 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 16 - Embedding Matrix.mp4 9.1 MB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 12 - Deep RNNs.mp4 9.0 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 08 - Logistic Regression.mp4 8.9 MB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 27 - Neural Network Representation.mp4 8.7 MB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 01 - Why ML Strategy.mp4 8.6 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 13 - Why look at case studies.mp4 8.3 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 43 - Siamese Network.mp4 7.9 MB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 42 - One Shot Learning.mp4 7.8 MB
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  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.en.srt 14.4 kB
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  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.en.srt 11.7 kB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 16 - Why ResNets Work.en.srt 11.7 kB
  • Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 07 - Sampling Novel Sequences.en.srt 11.6 kB
  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 51 - 1D and 3D Generalizations.en.srt 11.6 kB
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  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 30 - Normalizing Activations in a Network.en.srt 11.4 kB
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  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.en.srt 11.3 kB
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  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 07 - Understanding Dropout.en.srt 11.1 kB
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  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.en.srt 11.0 kB
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  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 03 - More Edge Detection.en.srt 10.8 kB
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  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 17 - Vectorization.en.srt 9.8 kB
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  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 13 - Gradient Checking.en.srt 9.4 kB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.en.srt 9.3 kB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 24 - Learning Rate Decay.en.srt 9.2 kB
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  • Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 01 - Computer Vision.en.srt 9.1 kB
  • Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 11 - Surpassing Human-level Performance.en.srt 9.1 kB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 05 - About this Course.kn.srt 9.1 kB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 01 - Welcome.en.srt 9.1 kB
  • Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 18 - Exponentially Weighted Averages.en.srt 9.0 kB
  • Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.en.srt 8.9 kB
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