I've read the theory part, but it's still hard to understand... I think it might be helpful to those who have a basic understanding since I've compressed a lot of the content.

wns66196600

This is a lecture on implementing various artificial neural networks using PyTorch, a deep learning framework with very high utility in the field of artificial intelligence.

dlbro

[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation

Thank you for your review. Feel free to ask questions anytime!

입문

초급

중급이상

Deep Learning(DL)

파이썬

Python

파이토치

PyTorch

Artificial Neural Network

Machine Learning(ML)

PyTorch and Google Colab

Python Introduction

PyTorch Introduction

Supervised learning

Transfer learning

Unsupervised Learning

Visualization

Performance Improvement

[Advanced] Implement ResNet Yourself (CVPR Paper)

[Advanced] Directly Implementing RepVGG (CVPR Paper)