Published inBiffuresBiffure #1: Hearthstone, Verhulst & exponential functions“Biffures” is French for crossing-outs; these short articles are light explorations, less involved discussions of topics that don’t form a…Apr 5, 2021Apr 5, 2021
Published inBiffuresFermat’s little theoremAn etymological and visual exploration of Fermat’s little theorem, one of the keys to understanding the RSA encryption algorithm.Oct 18, 20192Oct 18, 20192
Published inBiffuresRL Course by David Silver (Lectures 8 & 9)We finish the series of lectures by David Silver and move on to implementation exercisesApr 13, 20181Apr 13, 20181
Published inBiffuresRL Course by David Silver (Lectures 5 to 7)This is day 45 of my 60-day reinforcement learning challenge, and we continue the series of lectures by Deepmind’s David Silver.Apr 13, 2018Apr 13, 2018
Published inBiffuresRL Course by David Silver (Lectures 1 to 4)A summary of 15 hours into reinforcement learningMar 18, 20181Mar 18, 20181
Published inBiffuresNetwork sparsity and rectifiersWhere we learn why, despite being amazing on their own, linear and sigmoid neurons are not the self evident choice for neural networksMar 7, 20181Mar 7, 20181
Published inBiffuresAll the single neuronsWhere we learn that it takes one neuron to solve multilinear regressions and logistic regressions, which I thought were pretty advanced…Feb 27, 2018Feb 27, 2018
Published inBiffuresReinforcement learning, from 0 to something in 60 daysIn this series, I will attempt to learn something about reinforcement learning in a limited period of time, after work hours, with the…Feb 26, 2018Feb 26, 2018
Published inBiffuresPart 5: Hashing with SHA-256An overview of SHA-256, a standard secure hash function, as described in official document FIPS 180–4.Jan 4, 20184Jan 4, 20184
Published inBiffuresPart 4: Bitwise PatternsA bitwise ops cheatsheet (¬, <<, >>, ROTR/L, +, ∧, ∨, ⊕)Sep 8, 20161Sep 8, 20161
