Deep learning

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

• Browse the State-of-the-Art in Machine Learning | Papers With Code

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
  • fast.ai – Alternatives to a Degree to Prove Yourself in Deep Learning

Courses

Sargur Shrihari at Uni Buffalo

• Deep Learning prerequisites
  • Introduction to Machine Learning: Course Materials
  • Probabilistic Graphical Models: Course Slides

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

• kipply’s blog
• Lilian Weng’s blog archive

People

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

Liquet, B., Moka, S., & Nazarathy, Y. (2024). Mathematical Engineering of Deep Learning. CRC Press.