TAU Deep Learning Course

We are running this course for the second year. Contact wolf@cs.tau.ac.il for queries. Adam Polyak (adampolyak@gmail.com) is the the TA.

Deep Learning

Excercises | Additional Material | Presentations

Excercises:

EX1, due at Nov 24. Template code.

Additional Material:

Books:
http://www-labs.iro.umontreal.ca/~bengioy/DLbook/
http://neuralnetworksanddeeplearning.com/
Stanford courses:

http://vision.stanford.edu/teaching/cs231n/

http://cs224d.stanford.edu/syllabus.html

References:
http://rt.dgyblog.com/ref/ref-learning-deep-learning.html
http://memkite.com/deep-learning-bibliography/

Presentations:

These are kept password protected at the moment since they are still local teaching aids and not meant for publication. LINK TO PRESENTATIONS