# PyTorch

**Repository Path**: blackorchid/PyTorch

## Basic Information

- **Project Name**: PyTorch
- **Description**: Deep Learning Zero to All - Pytorch
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-16
- **Last Updated**: 2021-08-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 모두를 위한 딥러닝 시즌2 : 모두가 만드는 모두를 위한 딥러닝

모두가 만드는 모두를 위한 딥러닝 시즌 2에 오신 여러분들 환영합니다. 

## Getting Started

아래 링크에서 슬라이드와 영상을 통해 학습을 시작할 수 있습니다.

* Slide: http://bit.ly/2VrZcWM
* YouTube: http://bit.ly/2UVk3kn

### Docker 사용자를 위한 안내

동일한 실습 환경을 위해 docker 를 사용하실 분은  [docker_user_guide.md](docker_user_guide.md) 파일을 참고하세요! :)

### Install Requirements

```bash
pip install -r requirements.txt
```

Install PyTorch from website: [https://pytorch.org/](https://pytorch.org/)


---

## PyTorch

Deep Learning Zero to All - PyTorch

모든 코드는 PyTorch 1.0.0 기준으로 작성하였습니다. 

## Contributions/Comments

언제나 여러분들의 참여를 환영합니다. Comments나 Pull requests를 남겨주세요

We always welcome your comments and pull requests

## 목차

### PART 1: Machine Learning & PyTorch Basic 

* Lab-01-1 Tensor Manipulation 1
* Lab-01-2 Tensor Manipulation 2
* Lab-02 Linear regression
* Lab-03 Deeper Look at GD
* Lab-04-1 Multivariable Linear regression
* Lab-04-2 Loading Data
* Lab-05 Logistic Regression
* Lab-06 Softmax Classification
* Lab-07-1 Tips
* Lab-07-2 MNIST Introduction

### PART 2: Neural Network

* Lab-08-1 Perceptron
* Lab-08-2 Multi Layer Perceptron
* Lab-09-1 ReLU
* Lab-09-2 Weight initialization
* Lab-09-3 Dropout
* Lab-09-4 Batch Normalization

### PART 3: Convolutional Neural Network

* Lab-10-0 Convolution Neural Networkintro
* Lab-10-1 Convolution
* Lab-10-2 mnist cnn
* Lab-10-3 visdom
* Lab-10-4-1 ImageFolder1
* Lab-10-4-2 ImageFolder2
* Lab-10-5 Advance CNN(VGG)
* Lab-10-6-1 Advanced CNN(RESNET-1)
* Lab-10-6-2 Advanced CNN(RESNET-2)
* Lab-10-7 Next step of CNN

### PART 4: Recurrent Neural Network

* Lab-11-0 RNN intro
* Lab-11-1 RNN basics
* Lab-11-2 RNN hihello and charseq
* Lab-11-3 Long sequence
* Lab-11-4 RNN timeseries
* Lab-11-5 RNN seq2seq
* Lab-11-6 PackedSequence