Lecture
This lecture covers the concept of neural quantum states, focusing on the representation of quantum states using artificial neural networks. It discusses the application of machine learning techniques to quantum physics, emphasizing the importance of the last layer in neural networks. The lecture also explores the use of polar representation in quantum states and the role of activation functions in neural networks.