AI Study

2024/09/26 ~ 기계학습 및 딥러닝 이론을 학습하고 PyTorch를 통해 실습을 진행하는 Study입니다.

• 스터디 소개(Notion): https://www.notion.so/AI-PJT-Study-107bcffe6c8f805a98d8de0d7b1d4cac

Deep Learning zero To All님의 YouTube channel 중 모두를 위한 딥러닝 시즌2 - PyTorch 커리큘럼을 기반으로 학습을 진행합니다.

• YouTube: http://bit.ly/2UVk3kn

Contents

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