A from-scratch tour of Bitcoin in Python (2021)

Lessons learned from manually classifying CIFAR-10 (2011)

Self-driving as a case study for AGI

Biohacking Lite (2020)

Deep Neural Nets: 33 years ago and 33 years from now (2022)

Deep Neural Nets: 33 years ago and 33 years from now

A Recipe for Training Neural Networks (2019)

A from-scratch tour of Bitcoin in Python

Short Story on AI: Forward Pass

Biohacking Lite

A Recipe for Training Neural Networks

The Unreasonable Effectiveness of Recurrent Neural Networks (2015)

Hacker's guide to Neural Networks

Deep Reinforcement Learning: Pong from Pixels (2016)

An informed short story of where today's ML could lead.

Hacker's guide to Neural Networks

Deep Reinforcement Learning: Pong from Pixels

Hacker's guide to Neural Networks (2012)

What I learned from competing against a ConvNet on ImageNet

A Survival Guide to a PhD

The Unreasonable Effectiveness of Recurrent Neural Networks

Deep Reinforcement Learning: Pong from Pixels

Short Story on AI: A Cognitive Discontinuity

What a Deep Neural Network thinks about your #selfie

The Unreasonable Effectiveness of Recurrent Neural Networks

The state of Computer Vision and AI: we are really, really far. (2012)

Breaking Linear Classifiers on ImageNet

Hacker's Guide to Neural Networks

What I learned from competing against a ConvNet on ImageNet