Deep Learning and Neural Networks

Catalog description

This course provides a comprehensive introduction to Deep Learning, covering foundational concepts of neural networks, including multilayer perceptrons, convolutional neural networks, and recurrent neural networks. Advanced topics such as transformers, generative adversarial networks and recommender systems will also be explored. Students will gain practical experience implementing deep learning models using contemporary frameworks, addressing real-world problems in areas like image recognition, natural language understanding, and personalized recommendations. The course emphasizes both theoretical understanding and hands-on application.