Blogs & commentary

Intuitive Guide to Deep Network Architectures medium.com medium.com

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Lecture 1 recommended blog — architecture intuition for newcomers.

inFERENCe inference.vc inference.vc

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Technical ML theory & inference commentary.

FAIR / Meta AI Blog research.facebook.com research.facebook.com

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Facebook AI Research blog — historically listed on the course links page.

Sebastian Ruder’s blog ruder.io ruder.io

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Excellent NLP/transfer-learning surveys — good for students crossing into language.

DeepMind / Google DeepMind Blog deepmind.google deepmind.google

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Research announcements and explainers from DeepMind.

OpenAI Blog openai.com openai.com

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Lab research posts; course lists the classic OpenAI research blog.

BAIR Blog bair.berkeley.edu bair.berkeley.edu

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Berkeley AI Research lab blog — research digests from a top academic lab.

Andrej Karpathy’s blog karpathy.github.io karpathy.github.io

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Clear practitioner writing — RNNs, ImageNet, and deep learning craft.

Chris Olah’s blog colah.github.io colah.github.io

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Legendary visual essays on backprop, RNNs, and neural net interpretability.

Distill distill.pub distill.pub

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Interactive, carefully edited ML explainers — gold standard for visual pedagogy.