Assignment_DL_Pytorch

Repo for submitting Deep Learning with PyTorch assignment.

Deep Learning Zero To ALL : Pytorch

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

Assignment

과제	설명	기한
Part1. Machine Learning & PyTorch Basic	YouTube에서 Lec07까지 수강한 뒤 GitHub의 자료 [Lab01, Lab04-1, Lab05, Lab06-1, Lab07-1 ,Lab07-2]을 실습한 후 현재 레포지토리의 Lab01~Lab07 각각의 디렉터리에 파일명 "Lab00_이름"으로 업로드하세요!	21.10.12
Part2. Neural Network	YouTube에서 Lab09까지 수강한 뒤 GitHub의 자료 [Lab08-1, Lab08-4, Lab09-2, Lab09-4, Lab09-6]을 실습한 후 현재 레포지토리의 Lab08~Lab09 각각의 디렉터리에 파일명 "Lab00_이름"으로 업로드하세요!	21.11.02

Index

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