Monthly Archives: January 2022

Lottery Ticket Hypothesis in action

I have written an application which creates pools of 1000 neural networks. One test performs backpropagation training on them. A second test performs backpropagation, and a genetic algorithm. The amount of times training is called for each test is the same. The genetic algorithm seems to actually be able to converge on a lottery ticketContinue reading “Lottery Ticket Hypothesis in action”

My AI study so far

I have been studying neural networks for some time, and recently during a YSU hackthon, I managed to make interesting progress. After about a year long break, I return to this code and make large amounts of progress and a number of topics have presented in C++ software. I’m going to describe some of myContinue reading “My AI study so far”