[ WebToolTip.com ] Udemy - Python for Deep Learning - Build Neural Networks in Python

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[ WebToolTip.com ] Udemy - Python for Deep Learning - Build Neural Networks in Python

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种子哈希：1b9d826f935ef6ff69db592dea79fdcf76339726
文件大小：785.34M
已经下载：118次
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收录时间：2025-10-29
最近下载：2025-10-31

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文件列表

  • ~Get Your Files Here !/1 - Introduction to Deep Learning/2 - Course Materials - mnist_train.csv 109.6 MB
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/3 - Building the CNN model.mp4 49.9 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/8 - One-hot encoding using scikit-learn.mp4 39.7 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/7 - Label encoding using scikit-learn.mp4 29.4 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/9 - Training and Test Sets Splitting Data.mp4 27.7 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/17 - Predicting the test set results.mp4 27.2 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/12 - Adding the input layer and the first hidden layer.mp4 24.7 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/10 - Feature scaling.mp4 24.6 MB
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/1 - How artificial neural networks work.mp4 24.4 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/6 - Splitting the dataset into independent and dependent variables.mp4 23.9 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/16 - Fitting the ANN model to the training set.mp4 23.5 MB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/1 - Introduction.mp4 22.0 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/15 - Compiling the artificial neural network.mp4 20.6 MB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/2 - Course Materials - mnist_test.csv 18.3 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/11 - Building the Artificial Neural Network.mp4 16.7 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/4 - Data Pre-processing.mp4 14.3 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/14 - Adding the output layer.mp4 12.8 MB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/3 - Convolution Layer.mp4 12.6 MB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/1 - What is a Deep Learning.mp4 12.2 MB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/3 - An introduction to the neural network.mp4 12.1 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/2 - Exploring the dataset.mp4 12.0 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/13 - Adding the next hidden layer.mp4 11.8 MB
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/2 - Importing libraries.mp4 11.6 MB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/4 - Pooling Layer.mp4 10.2 MB
  • ~Get Your Files Here !/6 - Gradient Descent Algorithm/1 - What is Gradient Decent.mp4 9.9 MB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/5 - Fully connected Layer.mp4 9.8 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/5 - Loading the dataset.mp4 9.6 MB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/4 - Architecture of a neural network.mp4 9.6 MB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/1 - Introduction.mp4 9.3 MB
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/4 - Accuracy of the model.mp4 9.2 MB
  • ~Get Your Files Here !/5 - Activation Functions/1 - What is the Activation Function.mp4 9.0 MB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/2 - Anatomy and function of neurons.mp4 7.5 MB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/3 - Why is Deep Learning Important.mp4 7.5 MB
  • ~Get Your Files Here !/5 - Activation Functions/3 - The sigmoid function.mp4 7.4 MB
  • ~Get Your Files Here !/4 - Neural Network Architectures/5 - Long Short-Term Memory (LSTM) networks.mp4 6.9 MB
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/4 - Applications of Neural Networks.mp4 6.7 MB
  • ~Get Your Files Here !/5 - Activation Functions/4 - Hyperbolic tangent function.mp4 6.6 MB
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/1 - Dataset.mp4 6.5 MB
  • ~Get Your Files Here !/6 - Gradient Descent Algorithm/3 - Gradient Decent vs Stochastic Gradient Decent.mp4 6.5 MB
  • ~Get Your Files Here !/6 - Gradient Descent Algorithm/2 - What is Stochastic Gradient Decent.mp4 6.3 MB
  • ~Get Your Files Here !/4 - Neural Network Architectures/4 - Recurrent neural network (RNN).mp4 6.3 MB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/2 - Components of convolutional neural networks.mp4 6.2 MB
  • ~Get Your Files Here !/3 - Propagation of information in ANNs/1 - Feed-forward and Back Propagation Networks.mp4 6.1 MB
  • ~Get Your Files Here !/3 - Propagation of information in ANNs/2 - Backpropagation In Neural Networks.mp4 5.7 MB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/4 - Software and Frameworks.mp4 5.6 MB
  • ~Get Your Files Here !/4 - Neural Network Architectures/6 - Hopfield neural network.mp4 5.6 MB
  • ~Get Your Files Here !/5 - Activation Functions/6 - Rectified Linear Unit (ReLU) function.mp4 5.6 MB
  • ~Get Your Files Here !/3 - Propagation of information in ANNs/3 - Minimizing the cost function using backpropagation.mp4 5.2 MB
  • ~Get Your Files Here !/4 - Neural Network Architectures/1 - Single layer perceptron (SLP) model.mp4 5.0 MB
  • ~Get Your Files Here !/4 - Neural Network Architectures/3 - Multi-layer perceptron (MLP) Neural Network.mp4 4.9 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/1 - Introduction.mp4 4.9 MB
  • ~Get Your Files Here !/4 - Neural Network Architectures/7 - Boltzmann Machine Neural Network.mp4 4.9 MB
  • ~Get Your Files Here !/5 - Activation Functions/2 - Important Terminologies.mp4 4.9 MB
  • ~Get Your Files Here !/4 - Neural Network Architectures/2 - Radial Basis Network (RBN).mp4 4.6 MB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/2 - Course Materials - Course Slides.pdf 4.5 MB
  • ~Get Your Files Here !/5 - Activation Functions/5 - Softmax function.mp4 4.4 MB
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/2 - Advantages of Neural Networks.mp4 4.4 MB
  • ~Get Your Files Here !/5 - Activation Functions/7 - Leaky Rectified Linear Unit function.mp4 4.2 MB
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/3 - Disadvantages of Neural Networks.mp4 3.6 MB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/3 - Problem Statement.mp4 3.4 MB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/2 - Course Materials - ANN_Codes.ipynb 2.9 MB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/2 - Course Materials - Churn_Modelling.csv 684.9 kB
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/3 - Building the CNN model.en_US.vtt 10.0 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/8 - One-hot encoding using scikit-learn.en_US.vtt 5.9 kB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/2 - Course Materials - CNN_Codes.ipynb 5.3 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/17 - Predicting the test set results.en_US.vtt 4.2 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/7 - Label encoding using scikit-learn.en_US.vtt 4.0 kB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/1 - Introduction.en_US.vtt 3.8 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/4 - Data Pre-processing.en_US.vtt 3.6 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/10 - Feature scaling.en_US.vtt 3.5 kB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/1 - What is a Deep Learning.en_US.vtt 3.5 kB
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/1 - How artificial neural networks work.en_US.vtt 3.4 kB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/3 - Convolution Layer.en_US.vtt 3.3 kB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/3 - An introduction to the neural network.en_US.vtt 3.1 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/9 - Training and Test Sets Splitting Data.en_US.vtt 3.1 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/12 - Adding the input layer and the first hidden layer.en_US.vtt 2.8 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/6 - Splitting the dataset into independent and dependent variables.en_US.vtt 2.8 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/15 - Compiling the artificial neural network.en_US.vtt 2.6 kB
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/2 - Importing libraries.en_US.vtt 2.2 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/16 - Fitting the ANN model to the training set.en_US.vtt 2.1 kB
  • ~Get Your Files Here !/5 - Activation Functions/3 - The sigmoid function.en_US.vtt 2.1 kB
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/4 - Applications of Neural Networks.en_US.vtt 1.9 kB
  • ~Get Your Files Here !/6 - Gradient Descent Algorithm/1 - What is Gradient Decent.en_US.vtt 1.9 kB
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/3 - Why is Deep Learning Important.en_US.vtt 1.9 kB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/4 - Pooling Layer.en_US.vtt 1.9 kB
  • ~Get Your Files Here !/6 - Gradient Descent Algorithm/2 - What is Stochastic Gradient Decent.en_US.vtt 1.8 kB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/5 - Fully connected Layer.en_US.vtt 1.7 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/11 - Building the Artificial Neural Network.en_US.vtt 1.7 kB
  • ~Get Your Files Here !/5 - Activation Functions/1 - What is the Activation Function.en_US.vtt 1.7 kB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/4 - Architecture of a neural network.en_US.vtt 1.6 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/14 - Adding the output layer.en_US.vtt 1.5 kB
  • ~Get Your Files Here !/3 - Propagation of information in ANNs/3 - Minimizing the cost function using backpropagation.en_US.vtt 1.4 kB
  • ~Get Your Files Here !/5 - Activation Functions/6 - Rectified Linear Unit (ReLU) function.en_US.vtt 1.4 kB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/2 - Anatomy and function of neurons.en_US.vtt 1.3 kB
  • ~Get Your Files Here !/4 - Neural Network Architectures/5 - Long Short-Term Memory (LSTM) networks.en_US.vtt 1.3 kB
  • ~Get Your Files Here !/2 - Artificial Neural Networks (ANN)/1 - Introduction.en_US.vtt 1.3 kB
  • ~Get Your Files Here !/5 - Activation Functions/4 - Hyperbolic tangent function.en_US.vtt 1.2 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/2 - Exploring the dataset.en_US.vtt 1.2 kB
  • ~Get Your Files Here !/4 - Neural Network Architectures/4 - Recurrent neural network (RNN).en_US.vtt 1.2 kB
  • ~Get Your Files Here !/3 - Propagation of information in ANNs/1 - Feed-forward and Back Propagation Networks.en_US.vtt 1.1 kB
  • ~Get Your Files Here !/4 - Neural Network Architectures/6 - Hopfield neural network.en_US.vtt 1.1 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/13 - Adding the next hidden layer.en_US.vtt 1.1 kB
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/5 - Loading the dataset.en_US.vtt 1.1 kB
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/2 - Advantages of Neural Networks.en_US.vtt 1.1 kB
  • ~Get Your Files Here !/4 - Neural Network Architectures/1 - Single layer perceptron (SLP) model.en_US.vtt 1.0 kB
  • ~Get Your Files Here !/9 - Convolutional Neural Networks (CNN)/2 - Components of convolutional neural networks.en_US.vtt 897 Bytes
  • ~Get Your Files Here !/11 - BONUS Section - Don't Miss Out/1 - BONUS Section - Don't Miss Out.html 893 Bytes
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/1 - Dataset.en_US.vtt 850 Bytes
  • ~Get Your Files Here !/4 - Neural Network Architectures/7 - Boltzmann Machine Neural Network.en_US.vtt 841 Bytes
  • ~Get Your Files Here !/4 - Neural Network Architectures/2 - Radial Basis Network (RBN).en_US.vtt 827 Bytes
  • ~Get Your Files Here !/5 - Activation Functions/5 - Softmax function.en_US.vtt 821 Bytes
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/4 - Software and Frameworks.en_US.vtt 799 Bytes
  • ~Get Your Files Here !/3 - Propagation of information in ANNs/2 - Backpropagation In Neural Networks.en_US.vtt 779 Bytes
  • ~Get Your Files Here !/5 - Activation Functions/7 - Leaky Rectified Linear Unit function.en_US.vtt 776 Bytes
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/3 - Problem Statement.en_US.vtt 747 Bytes
  • ~Get Your Files Here !/6 - Gradient Descent Algorithm/3 - Gradient Decent vs Stochastic Gradient Decent.en_US.vtt 728 Bytes
  • ~Get Your Files Here !/4 - Neural Network Architectures/3 - Multi-layer perceptron (MLP) Neural Network.en_US.vtt 717 Bytes
  • ~Get Your Files Here !/7 - Summary Overview of Neural Networks/3 - Disadvantages of Neural Networks.en_US.vtt 693 Bytes
  • ~Get Your Files Here !/10 - Implementation of CNN in Python/4 - Accuracy of the model.en_US.vtt 689 Bytes
  • ~Get Your Files Here !/5 - Activation Functions/2 - Important Terminologies.en_US.vtt 674 Bytes
  • ~Get Your Files Here !/8 - Implementation of ANN in Python/1 - Introduction.en_US.vtt 575 Bytes
  • Get Bonus Downloads Here.url 180 Bytes
  • ~Get Your Files Here !/1 - Introduction to Deep Learning/2 - Course Materials.html 148 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 70 Bytes

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