Textbook and reference materials

Please do not purchase ahead of the first class.

[PRML] Pattern Recognition and Machine Learning
Christopher Bishop, Springer, 2006.

[DL] Deep Learning
Ian Goodfellow, Yoshua Bengio and Aaron Courville, MIT Press, 2016.

[TN] Theoretical Neuroscience
Peter Dayan and Larry Abbott. MIT Press, 2001.

[PNS] Principles of Neural Science
Eric R. Kandel, John D. Koester, Sarah H. Mack and Steven A. Siegelbaum. McGraw Hill, 2021.

We will also read foundational research papers from the neuroscience and deep learning literature.


You may also find these reference materials useful throughout the quarter (modified from CSE 446/546).