Graph Search: Neural Networks and Deep Learning

This lecture explores the concept of graph search in the context of neural networks and deep learning, focusing on topics such as convolutional neural networks, artificial neural networks, and their applications in image recognition and natural language processing. The instructor discusses the inference of neuronal network spike dynamics and topology from calcium imaging data, as well as the theory of linear time-invariant systems. The lecture also covers courses at EPFL related to deep learning and artificial neural networks, providing insights into modern techniques and models used in these fields.