Lectures related to Neural Network Training

Explores safe learning, control, multi-agent coordination, and Nash equilibrium convergence in intelligent systems.

Explores the generalization of ImageNet classifiers and the challenges in achieving reliable machine learning models.

Introduces named tuples and dataclasses in Python, emphasizing their flexibility and ease of use for data manipulation.