layout	title	description
default	모두를 위한 딥러닝 시즌 2 - PyTorch	This is PyTorch page.

Deep Learning Zero To All : PyTorch

아래 링크에서 슬라이드와 영상을 통해 학습을 시작할 수 있습니다. 도커를 사용하실 분은 Github 의 도커 가이드 문서를 참고해주세요!

Github: https://github.com/deeplearningzerotoall/PyTorch
YouTube: http://bit.ly/2UVk3kn
Slide: http://bit.ly/2VrZcWM

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