파이토치로 시작하는 딥러닝 기초

---

edwith에서 제공하는 파이토치 부스트코스 강의를 공부하고 정리한 문서입니다.

Part 1. Machine Learning and 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
• Project A. Fashion MNIST Classifier

Part 3. Convolutional Neural Network

• Lab-10-0 Convolution Neural Network-intro
• 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
• Project B. Cat-Dog Classifier

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
• Project C. Neural Weather Forecaster

🏅 Certification of Completion