CS C182
CS C182: Deep Neural Network Notes
UC Berkeley · Fall 2025
UC Berkeley CS C182 (COMPSCI C182) deep neural network notes, Fall 2025. Free PDF covering optimization, regularization, CNNs, GNNs, RNNs, and transformers.
Topics covered
- Learning & generalization: Supervised learning, empirical risk minimization, regularization, early stopping, and weight decay.
- Training: Gradient descent, stochastic optimization, Adam, initialization, and normalization.
- Neural architectures: Convolutional, graph, and recurrent neural networks; data augmentation.
- Language models: Transformers and autoregressive modeling.