Science of Deep Learning

Discover the cutting-edge world of artificial intelligence with Science of Deep Learning by Iddo Drori, published by Cambridge University Press in 2022. This comprehensive hardback edition spans 360 pages and serves as an essential resource for students and researchers in computer science, electrical engineering, data science, and statistics.

Delve into state-of-the-art topics such as transformers, graph neural networks (GNNs), variational autoencoders (VAEs), and deep reinforcement learning (RL). Each concept is meticulously explained, making complex ideas accessible to both newcomers and seasoned professionals. Additionally, the book offers complementary code and hundreds of exercises with solutions available on the website, enhancing the learning experience.

Whether you're looking to deepen your understanding or advance your research, Science of Deep Learning is a must-have addition to your academic library.