Deep Learning by Choi

Jonathan Choi 2021

End to End study scripts of Deep Learning by implementing code practice with Pytorch.

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Index

Part 1: Machine Learning & PyTorch Basic

1. Tensor Manipulation

1-1. Tensor Manipulation

2. Linear regression

2-1. Linear regression

3. Gradient Descent

3-1. Gradient Descent

4. Multivariable Linear regression

4-1. Multivariable Linear regression
4-2. Load Data & Multivariate Linear Regression

5. Logistic Regression

5-1. Logistic Regression

6. Softmax Classification

6-1. Softmax Classification
6-2. Fancy Softmax Classification

7. Learning Rate & Data Preprocessing

7-1. Learning Rate & Data Preprocessing

8. MNIST Introduction

8-1. MNIST Introduction

Part 2: Neural Network

9. XOR to Neural Network

9-1. Perceptron
9-2~5. Multi Layer Perceptron

10. Optimizers & Activations

10-1~2. Optimizers
10-3~4. Activations

11. Regularization

11-1~3. Weight initialization
11-4~5. Dropout
11-6~7. Batch Normalization

Part 3: Convolutional Neural Network

12. Convolutional Neural Network

12-1 Convolution Neural Network
12-2~3 MNIST CNN
12-4~5 Visdom
12-6~7 ImageFolder

13. Advanced CNN

13-1~3. Advanced CNN(VGG)
13-4~6. Advanced CNN(RESNET)