Lectures related to Neural Networks: Basics and History

Related lectures (32)

Explores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.

Discusses challenges in building physical neural networks, focusing on depth, connections, and trainability.