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Blogs & commentary

by @stats385 · last added 2026-09-24 · 10 items [blogs]

Distill, Colah, Karpathy, lab blogs — readable commentary to accompany papers.


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* Intuitive Guide to Deep Network Architectures
Lecture 1 recommended blog — architecture intuition for newcomers.
medium.com · node›
* inFERENCe
Technical ML theory & inference commentary.
inference.vc · node›
* FAIR / Meta AI Blog
Facebook AI Research blog — historically listed on the course links page.
research.facebook.com · node›
* Sebastian Ruder’s blog
Excellent NLP/transfer-learning surveys — good for students crossing into language.
ruder.io · node›
* DeepMind / Google DeepMind Blog
Research announcements and explainers from DeepMind.
deepmind.google · node›
* OpenAI Blog
Lab research posts; course lists the classic OpenAI research blog.
openai.com · node›
* BAIR Blog
Berkeley AI Research lab blog — research digests from a top academic lab.
bair.berkeley.edu · node›
* Andrej Karpathy’s blog
Clear practitioner writing — RNNs, ImageNet, and deep learning craft.
karpathy.github.io · node›
* Chris Olah’s blog
Legendary visual essays on backprop, RNNs, and neural net interpretability.
colah.github.io · node›
* Distill
Interactive, carefully edited ML explainers — gold standard for visual pedagogy.
distill.pub · node›