Irrelevant question; that doesn't suddenly erase that person's blunder.
At the very least though, I have coded:
(1) Simple neural net, important for understanding fundamentals:
https://github.com/JordanMicahBennett/SIMPLE-NEURAL-NETWORK
(2) Residual neural network:
https://github.com/JordanMicahBennett/EJECTION-FRACTION-IRREGULARITY-DETECTION-MODEL
(3) Quasicrystal themed algorithm as a path for ai navigation:
https://github.com/JordanMicahBennett/MORPHING-SOMATIC-QUASICRYSTAL-PATH-ALGORITHM
(4) Although not programmed directly, (using ibm's quantum computing platform) a concise record of quantum computation, geared towards programming thought curvature:
https://www.researchgate.net/public...ion_describing_the_basis_of_quantum_computing
(5) Not a program, but where RealityCheck offered (
See here) an
irrelevant one line description of deep q learning, I had long organized a detailed guideline that one may use to help code deep q net:
https://www.quora.com/Artificial-In...p-Q-networks-DQN-work/answer/Jordan-Bennett-9
(6)
Most importantly,
thought curvature's experiment - though far from a complete solution, I have began to do work in aims of constructing the super Hamiltonian structure required by thought curvature, in relation to deep q learning.
Note that a complete solution is optimal on a quantum computer, as one may discover by reading
paper.
See %Backpropagation in regressiom.m:
https://github.com/JordanMicahBennett/God