Lectures related to Neural Network Quantum State Tomography

Related lectures (32)

Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.

Explores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.