PCS5022 - Deep Learning Machine Learning Basics Slides Video Part 1 Video Part 2 FeedForward Networks Slides Video BackPropagation, Weights Initialization, Learning Rate and Optimizers Slides Video Part 1 Video Part 2 Deep Learning Slides Video Regularization and Batch Normalization Slides Video Convolutional Networks, Building Blocks and Residual Networks Slides Video Part 1 Video Part 2 Data Augmentation, Dataset Distillation and Adversarial Attacks Slides Video Recurrent Networks Slides Video (coming soon) Transformers, Modern MLP Architectures and Foundation Models Slides Video (coming soon) Video Part 2 - Foundation Models Transfer Learning, Fine-Tuning and Knowledge Distillation Slides Video Self-supervised and Semi-supervised Learning Slides Video