#Deep Learning

CS231n Lecture Note: Generative Models

CS231n Lecture Note: Self-Supervised Learning

CS231n Lecture Note: Large Scale Distributed Training

From RNNs to Transformers

CS231n Lecture Note VII: Recurrent Neural Networks

Uncovering Batch & Layer Normalization

CS231n Lecture Note VI: CNN Architectures and Training

CS231n Lecture Note V: Convolution Neural Networks Basics

Demystifying Softmax Loss: A Step-by-Step Derivation for Linear Classifiers

CS231n Lecture Note IV: Neural Networks and Backpropagation