Chapter 3 Deep Neural Network (DNN) Overview

przez Mohammed Shalgham 1,142,497 KB • 45 pliki

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031. DNN Implementation Gradient Step.mp4

031. DNN Implementation Gradient Step.mp4

032. DNN Implementation Stochastic Gradient Descent.mp4

032. DNN Implementation Stochastic Gradient Descent.mp4

033. DNN Implementation Batch Gradient Descent.mp4

033. DNN Implementation Batch Gradient Descent.mp4

034. DNN Implementation Minibatch Gradient Descent.mp4

034. DNN Implementation Minibatch Gradient Descent.mp4

035. DNN Implementation in PyTorch.mp4

035. DNN Implementation in PyTorch.mp4

036. DNN Weights Initializations.mp4

036. DNN Weights Initializations.mp4

037. DNN Learning Rate.mp4

037. DNN Learning Rate.mp4

038. DNN Batch Normalization.mp4

038. DNN Batch Normalization.mp4

039. DNN Batch Normalization Implementation.mp4

039. DNN Batch Normalization Implementation.mp4

040. DNN Optimizations.mp4

040. DNN Optimizations.mp4

041. DNN Dropout.mp4

041. DNN Dropout.mp4

042. DNN Dropout in PyTorch.mp4

042. DNN Dropout in PyTorch.mp4

043. DNN Early Stopping.mp4

043. DNN Early Stopping.mp4

044. DNN Hyperparameters.mp4

044. DNN Hyperparameters.mp4

045. DNN PyTorch CIFAR10 Example.mp4

045. DNN PyTorch CIFAR10 Example.mp4

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