Lectures related to Deep Splines: Unifying Framework for Deep Neural Networks

Explores machine learning workloads, DNN layers, systolic arrays, and the efficiency of specialized accelerators like TPUs.

Covers visual intelligence, feedback networks, taxonomy-based prediction, and recurrent neural networks for image classification.

Explores advanced reinforcement learning topics, including policies, value functions, Bellman recursion, and on-policy TD control.