Lectures related to Sequence to Sequence Models: Overview and Applications

Related lectures (32)

Explores the hidden convex optimization landscape of deep neural networks, showcasing the transition from non-convex to convex models.

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