# Deep learning

notes

## Books

Deep Learning with Python by François Chollet (Google; Keras, TensorFlow, ARC Challenge)

The little book of deep learning [pdf] by François Fleuret - professor of computer science at the University of Geneva, Switzerland; Apr 2023. #phoneformatted. See also 100-page-book

Book | Alfredo Canziani (in progress…)

udlbook/Understanding Deep Learning by Simon J.D. Prince. Has 68 Jupyter Notebooks, which can be downloaded from github. Plots are drawn with –

Inkscape with the texText plugin to do the equations. Free and highly recommended. I draw the axes and ticks by hand because it looks nicer than anything from PyPlot etc.

2023-11-15 ¶Deep Learning: Foundations and Concepts by Chris Bishop of PRML book fame.

## Papers

## Articles

- From Deep to Long Learning? · Hazy Research
- A Completely Non-Technical Explanation of AI and Deep Learning - Parand

## Learning Paths

- Learning From Data - Online Course (MOOC)
- MIT Deep Learning 6.S191
- AI for Beginners from Microsoft
- Data Science for Beginners from Microsoft
- Machine Learning for Beginners from Microsoft
- Stanford University CS231n: Deep Learning for Computer Vision
- Stanford CS229: Machine Learning I Spring 2022 - YouTube
- UNIGE 14x050 – Deep Learning course by François Fleuret, who also authored “The Little book of deep learning”

## Videos

- Practical Deep Learning for Coders - YouTube by Jeremy Howard
- after the above watch this this from 2019 Deep Learning from the Foundations - YouTube

## Blogs

## People

- Demis Hassabis - Wikipedia CEO of deepmind.
- Alec Radford, researcher at OpenAI; google scholar page