Stanford의 [CS231n: Convolutional Neural Networks for Visual Recognition] 을 기반으로 한 인공지능응용 강의를 듣고 정리한 내용입니다.

Orientation & Introduction

Image Classification

Loss Functions and Optimization

Backpropagation and Neural Networks

Convolutional Neural Networks

Training Neural Networks, Part 1

Training Neural Networks, Part 2

Deep Learning Hardware and Software

CNN Architectures

Recurrent Neural Networks

Detection and Segmentation

Generative Models

Visualizing and Understanding

Reinforcement Learning

CS231n Assignments

https://drive.google.com/drive/folders/1W8ydL_TbcCTwy9Hf_iM3CgYCbriX56ml?usp=sharing