I took the course knowing basic Python knowledge, but it was good that it quickly reviewed the prerequisite knowledge required for deep learning, and it was a lecture that was concise and focused on the overall content. The Q&A was also quick, so it was very helpful for me personally!

chojang

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

인프런 10주년! 사랑주간 전체 할인

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

Thank you for your review. Questions are always welcome :) Good luck!

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)