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