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README.md

Hands-on Pytorch


This repository provides tutorial code for deep learning researchers to learn PyTorch. If you have any questions in this document, please contact me: hoesungryu@korea.ac.kr

Course Objectives

This is an introductory basic-level course on Machine Learning and Deep Learning with Pytorch. This course who are interested in not only understanding the basic methodology of deep learning & data analytics but also play around with coding yourself.

Syllabus

Event Type Date Topic
1 July 26 Environment setting and python basic
2 July 27 Pytorch basic
3 July 28 Linear Regression
4 July 29 Classification
5 July 30 Know-how: Model training
6 July 31 MLP (Multi-Layer Perceptrone
7 Aug 03 CNN (Convolution Neural Network)
8 Aug 04 RNN (Recurrent neural Network)
9 Aug 05 RL (Reincement Learning)
10 Aug 06 Mini_Kaggle: Facial Expression Recognition on AffectNet
11 Aug 10 Awards and Closing

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