Deep Learning Web Course

Welcome to Math 452

contents

Module 0 Get started: course information and preparations:
Module 1: Linear machine learning models
Module 2: Probability and training algorithms
Module 3: Deep neural networks
Module 4: Convolutional neural networks
Module 5: Normalization, ResNet and Multigrid
Module 6: MgNet

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Contents

Download the lecture notes here: Notes

Support vector machine and relation with LR¶

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Download the lecture notes here: Notes ¶

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KL-divergence and cross-entropy

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Optimization and gradient descent method

By Jinchao Xu
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