Biffures
“biffures” is French for crossing-outs; here you will find semi-random explorations and incomplete ideas that generally involve math and computer programming
Latest
RL Course by David Silver (Lectures 5 to 7)
RL 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.
RL Course by David Silver (Lectures 1 to 4)
RL Course by David Silver (Lectures 1 to 4)
A summary of 15 hours into reinforcement learning
Network sparsity and rectifiers
Network sparsity and rectifiers
Where we learn why, despite being amazing on their own, linear and sigmoid neurons are not the self evident choice for neural networks
All the single neurons
All the single neurons
Where we learn that it takes one neuron to solve multilinear regressions and logistic regressions, which I thought were pretty advanced…
Part 5: Hashing with SHA-256
Part 5: Hashing with SHA-256
An overview of SHA-256, a standard secure hash function, as described in official document FIPS 180–4.
Part 4: Bitwise Patterns
Part 4: Bitwise Patterns
A bitwise ops cheatsheet (¬, <<, >>, ROTR/L, +, ∧, ∨, ⊕)
Part 3: Bitwise OR, AND’s sibling
Part 3: Bitwise OR, AND’s sibling
A review of the bitwise OR function (∨ or |) and of its relation to AND.