TSAI-EVA5 Session 1: Background & Basics: Machine Learning Intuition week1 Session 2: Neural Architecture Session 3: First Neural Network: Kernels, Activation, and Layers Session 4: Architectural Basics week4 Session 5: Coding Drill Down week5 Session 6: Batch Normalization and Regularization week6 Session 7: Advanced Convolutions week7 Session 8: Receptive Fields & Network Architectures week8 Session 9: Data Augmentation week9 Session 10: Advanced Concepts in Training & Learning Rates week10 Session 11: Super Convergence week11 Session 12: Object Localization YOLO week12 Session 13: YOLO V2/V3/V4 week13 Session 14: RCNN Family: RCNN, Fast-RCNN, FasterRCNN & MaskRCNN week14