This course delves into the core concepts and state-of-the-art techniques in pattern recognition and deep learning. It is designed to provide students with both the theoretical background and practical skills necessary to develop systems that automatically identify patterns and extract meaningful insights from complex data.

Probability basic

Neural Networks and Deep Learning

Recurrent Neural Networks

Generative Models