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目录
cs231
01-Lecture 1 Introduction
02-Lecture 2 Image Classification with Linear Classifiers
03-Lecture 3-Regularization and Optimization
05-Lecture 5-Image Classification with CNNs
06-Lecture 6-CNN Architectures
07-Lecture 7-Training Neural Networks
08-Lecture 8-Recurrent Neural Networks
09-Lecture 9-Attention and Transformers
10-Lecture 10-Video Understanding
10.2-Lecture 10-RNNs & Transformers
11-Lecture 11-Object Detection and Image Segmentation
12-Lecture 12-Visualizing and Understanding
13-Lecture 13-Self-supervised Learning
14-Lecture 14-Robot Learning
15-Lecture 15-Generative Models
16-Lecture 16-3D Vision
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