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neataptic

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Architecture-free neural network library with genetic algorithm implementations

2,546 lines 996 kB
// After just below 800 generations (was performing just as well after 100 or so) var population = [ { "nodes": [ { "bias": 0, "type": "input", "squash": "LOGISTIC", "index": "0" }, { "bias": 0, "type": "input", "squash": "LOGISTIC", "index": "1" }, { "bias": 0, "type": "input", "squash": "LOGISTIC", "index": "2" }, { "bias": 0, "type": "input", "squash": "LOGISTIC", "index": "3" }, { "bias": 0, "type": "input", "squash": "LOGISTIC", "index": "4" }, { "bias": 0, "type": "input", "squash": "LOGISTIC", "index": "5" }, { "bias": 0.32443764448154, "type": "hidden", "squash": "GAUSSIAN", "index": "6" }, { "bias": -0.16647256367238, "type": "hidden", "squash": "GAUSSIAN", "index": "7" }, { "bias": -0.16647256367238, "type": "hidden", "squash": "GAUSSIAN", "index": "8" }, { "bias": 0.98944240585711, "type": "output", "squash": "RELU", "index": "9" } ], "connections": [ { "weight": 1, "from": "6", "to": "6", "gater": null }, { "weight": 1, "from": "8", "to": "8", "gater": 2 }, { "weight": 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