Bert Huang

A Bird's Eye View of Recommender Systems

A bird's eye view of neural networks

Experimenting with JAX | AI Professor Improvises Chess Programming #16

Debugging Because Nothing is Working | AI Professor Improvises Chess Programming #15

Attempting Experience Replay | AI Professor Improvises Chess Programming #14

Random Projections | AI Professor Improvises Chess Programming #13

Actual Reinforcement Learning | AI Professor Improvises Chess Programming #12

Fixing Bugs in Fake Reinforcement Learning | AI Professor Improvises Chess Programming #11

Setting up for Reinforcement Learning | AI Professor Improvises Chess Programming #10

Fixing (?) Quiescence Search | AI Professor Improvises Chess Programming #9

Refactoring & Trying to Spell Quiescence Search | AI Professor Improvises Some Chess Programming #8

Introducing Bugs and Not Fixing Them | AI Professor Improvises Some Chess Programming #6

Attempting Alpha-Beta Pruning | AI Professor Improvises Some Chess Programming #5

Pruning the Search Tree | AI Professor Improvises Some Chess Programming #4

Making Moves on Lichess, but Now Slowly! | AI Professor Improvises Some Chess Programming #3

Slight Improvements to Heuristic | AI Professor Improvises Some Chess Programming #2

Trading a Queen for a Pawn | AI Professor Improvises Some Chess Programming #1

What is soft or max about the softmax function?

Avoid Numerical EXPLOSIONS with the Log Sum Exp Trick

Что лица, принимающие решения, должны знать о машинном обучении

Fairness in Machine Learning

Reduced-Bias Co-Trained Ensembles for Weakly Supervised Cyberbullying Detection

Relating the Binary and Multi-class Perceptron (handwritten notes)

Perceptrons are Weird! (handwritten notes)

Лагранжева релаксация (рукописные заметки)

Back Propagation

The Worst Unboxing Video of NVIDIA Titan V

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All Lagrangian Duals (of Minimizations) are Concave