Lectures related to Regularized Cross-Entropy Risk

Related lectures (32)

Covers the fundamentals of multi-layer neural networks and the training process of fully connected networks with hidden layers.

Explores the training and optimization of neural networks, addressing challenges like non-convex loss functions and local minima.