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모두를 위한 딥러닝 시즌2 : 모두가 만드는 모두를 위한 딥러닝

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

PyTorch

Deep Learning Zero to All - PyTorch

Install Requirements

pip install -r requirements.txt

Contributions/Comments

언제나 여러분들의 참여를 환영합니다. Comments나 Pull requests를 남겨주세요

We always welcome your comments and pull requests


Docker 사용자를 위한 안내

docker_user_guide.md 파일을 참고하세요!:)

목차

PART 1: Machine Learning & PyTorch Basic

  1. Machine Learning Overview + Install Pytorch
  2. Tensor Manipulation
  3. Minimizing Cost
  4. Multivariate Linear Regression
  5. Data Loading
  6. Logistic Classification
  7. Softmax Classification & Fancy softmax
  8. Tips for Training Deep Learning

PART 2: Neural Network

  1. Minist Dataset
  2. Neural Network for XOR Problem
  3. Neural Network for Mnist: xavier, dropout, batchnorm ...

PART 3: Convolutional Neural Network

  1. CNN for Mnist
  2. CNN for Custom Dataset
  3. Advanced CNN

PART 4: Recurrent Neural Network

  1. Recurrent Neural Network(RNN) Basics
  2. Hi Hello Training & Character Sequence RNN
  3. Long Sequence RNN
  4. Time series with RNN
  5. Seq-to-Seq
  6. PackedSequence

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Deep Learning Zero to All - Pytorch

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  • Jupyter Notebook 94.7%
  • Python 5.0%
  • Other 0.3%