Resources
Textbooks
While this course does not explicitly follow a specific textbook, the following are useful references on many of the topics covered.
- Dive into Deep Learning; Zhang, Aston, et al.; Cambridge University Press, 2023
- Deep Learning; Ian Goodfellow, Yoshua Bengio e Aaron Courville; MIT Press; 2016
- Deep Learning Foundations and Concepts, Christopher M. Bishop and Hugh Bishop, Springer, 2024
- Understanding Deep Learning; Simon J. D. Prince; The MIT Press, 2023
- The Little Book of Deep Learning; François Fleure; 2023
- Introduction to Neural Network Models of Cognition
Related Courses
- UC Berkley - CS182: Deep Learning
- DeepLearning.AI - Deep Learning Specialization
- MIT - 6.S191: Introduction to Deep Learning
- Georgia Tech - CS 4644: Deep Learning
- NYU - DS-GA 1008: Deep Learning