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New breakthroughs in machine learning
Alright, so I normally wouldn't do this. However, I just made a breakthrough in a project that's taken the course of several months, and feel that it could be useful for the entire group. It's a fully-commented, fully operational implementation of NEAT, an algorithm to train a computer towards a task. There's a reading behind the algorithm from MIT, and the code can be seen here (best to open on desktop): https://repl.it/LCPn/21 I'm glad to help explain anything further. Happy programming!
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It simulates a human brain on a computer, and then trains the vrain to get better and better at completing a task. In this example, it computes an XOR function.
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just 1 xor or several xors?
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what does it exactly do..?