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Deep Learning in the Information Lab
Home
Outline
Schedule
Books
Lecture notes
Coding
News
Invited speakers
Deep Learning in the Information Lab
Home
Outline
Schedule
Books
Lecture notes
Coding
News
Invited speakers
More
Home
Outline
Schedule
Books
Lecture notes
Coding
News
Invited speakers
Books
Here are most of the books that are mentioned in the outline:
We start with the second book in the right column (Deep Learning by Ian Goodfellow and Yoshua Bengio)
Ian Goodfellow, Yoshua Bengio, Aaron Courville-Deep Learning-The MIT Press (2016).pdf
Learn_Python_3_the_hard_way.pdf
Joel Grus-Data Science from Scratch_ First Principles with Python-O'Reilly Media (2015).pdf
MacKay-Information Theory Inference and Learning Algorithms.pdf
Saitta, Giordana, Cornuejols - Phase Transitions in Machine Learning.pdf
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