Understanding Deep Learning - Simon J.D. Prince

A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

A Great Collection of Deep Learning (e)Books

The fastai deep learning library

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Portable R

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 1…