Books
- Mathematical Engineering of Deep Learning (online book). (Liquet et al. 2024)
- 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.
- [2106.10165] The Principles of Deep Learning Theory
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"
- Practical Deep Learning for Coders from fast.ai, the book - Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Courses
Sargur Shrihari at Uni Buffalo
- Deep Learning prerequisites
Videos
- Practical Deep Learning for Coders - YouTube by Jeremy Howard
- after the above watch this this from 2019 Deep Learning from the Foundations - YouTube
- Endless Experimentation - building models in the real world by Nikolas Laskaris and Douglas Blank from CometAI at MIT intro to deep learning
Blogs
People
- Demis Hassabis - Wikipedia CEO of deepmind.
- Alec Radford, researcher at OpenAI; google scholar page
References
- Liquet, Moka, Nazarathy (2024). Mathematical Engineering of Deep Learning.