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Chapter 3 Deep Neural Network (DNN) Overview

بواسطة  Mohammed Shalgham 1,142,497 KB • 45 ملفات

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001. Why PyTorch.mp4
004. Why DNNs in Machine Learning.mp4
006. Perceptron.mp4
007. Perceptron Exercise.mp4
008. Perceptron Exercise Solution.mp4
009. Perceptron Implementation.mp4
010. DNN Architecture.mp4
011. DNN Architecture Exercise.mp4
012. DNN Architecture Exercise Solution.mp4
013. DNN Forward Step Implementation.mp4
018. DNN Activation Functions in PyTorch.mp4
019. DNN What Is Loss Function.mp4
020. DNN What Is Loss Function Exercise.mp4
024. DNN Loss Function in PyTorch.mp4
025. DNN Gradient Descent.mp4
026. DNN Gradient Descent Exercise.mp4
028. DNN Gradient Descent Implementation.mp4
030. DNN Gradient Descent Summary.mp4

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