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info.txt
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info.txt
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{"levels":[{"inputs":[0,0,0,0.10780309111611608,0.51714651234955],"outputs":[1,1,0,0,0,0],"biases":[-0.2766127952485631,-0.0931521895549522,0.13313750071749994,0.5135240722664426,0.27498388442318455,-0.00807401731857188],"weights":[[-0.3618039098851407,0.3446186875043845,0.1736962362672301,-0.03523184133538129,-0.5799566466237781,-0.38497500385026523],[-0.21626333746286233,-0.02283070945266738,0.877528995417171,-0.32378904454078306,-0.2672652410651858,-0.552087681326254],[-0.5408086025658091,-0.32008896046890856,-0.5706173310950675,-0.022082405048882307,0.49326184656638994,-0.15926905469280012],[0.7010410366051458,0.44018601668145585,-0.06732245393586495,0.602891090300558,0.41477725792775716,-0.6964360188000197],[0.288045633582942,0.3212520506062096,0.24141457973110708,0.6517712974046777,0.38800807036359053,-0.1733362858302626]]},{"inputs":[1,1,0,0,0,0],"outputs":[1,1,1,0],"biases":[-0.8734791975957121,-0.11626631128307545,0.15406378197707962,0.5187837748093691],"weights":[[-0.5588904112751399,0.7665241836371752,-0.16855308803807093,-0.017529574143106186],[0.006388956997441931,-0.5953137012763012,0.8625740660660599,-0.5107180022767194],[0.4717520457815954,0.052920448863565395,-0.2863978216698248,0.31156617555720223],[-0.03452501956298937,0.31336284426518907,-0.0566193478591388,-0.3405381845659902],[0.05405025552587758,-0.056351320035596,-0.5499664818381328,0.6723992233266597],[0.22827829642681835,-0.4534265044575087,0.10618766604986504,0.4266594478838771]]}]}
{"levels":[{"inputs":[0,0,0,0.1076053371543908,0.517039488676676],"outputs":[1,1,0,0,0,0],"biases":[-0.2766127952485631,-0.0931521895549522,0.13313750071749994,0.5135240722664426,0.27498388442318455,-0.00807401731857188],"weights":[[-0.3618039098851407,0.3446186875043845,0.1736962362672301,-0.03523184133538129,-0.5799566466237781,-0.38497500385026523],[-0.21626333746286233,-0.02283070945266738,0.877528995417171,-0.32378904454078306,-0.2672652410651858,-0.552087681326254],[-0.5408086025658091,-0.32008896046890856,-0.5706173310950675,-0.022082405048882307,0.49326184656638994,-0.15926905469280012],[0.7010410366051458,0.44018601668145585,-0.06732245393586495,0.602891090300558,0.41477725792775716,-0.6964360188000197],[0.288045633582942,0.3212520506062096,0.24141457973110708,0.6517712974046777,0.38800807036359053,-0.1733362858302626]]},{"inputs":[1,1,0,0,0,0],"outputs":[1,1,1,0],"biases":[-0.8734791975957121,-0.11626631128307545,0.15406378197707962,0.5187837748093691],"weights":[[-0.5588904112751399,0.7665241836371752,-0.16855308803807093,-0.017529574143106186],[0.006388956997441931,-0.5953137012763012,0.8625740660660599,-0.5107180022767194],[0.4717520457815954,0.052920448863565395,-0.2863978216698248,0.31156617555720223],[-0.03452501956298937,0.31336284426518907,-0.0566193478591388,-0.3405381845659902],[0.05405025552587758,-0.056351320035596,-0.5499664818381328,0.6723992233266597],[0.22827829642681835,-0.4534265044575087,0.10618766604986504,0.4266594478838771]]}]}
to train again the model
download the code from github of code with radu before fine tuning one then do on that ..