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Created June 1, 2020 15:47
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neuralNetworkWeightsAndBiasesExample
{"weightsAndBiases":[[{"bias":-0.10071499664092819,"weights":[]},{"bias":-0.15018810063963497,"weights":[]}],[{"bias":-2.8468035812909434,"weights":[5.45721869905237,-3.148199059174658]},{"bias":-5.242078727744964,"weights":[-3.3284653639142725,10.876261776883684]},{"bias":-12.976066169035779,"weights":[36.003431279150426,6.242494143417826]},{"bias":-20.989904892589315,"weights":[13.402075212498223,51.79564730855186]}],[{"bias":-5.425858592065819,"weights":[-58.58740543154484,-32.269696973037284,18.54140361818438,10.084452534168838]}]],"parameters":["x","y"],"theory":"x^2+y^2<1","layersLength":[2,4,1]}
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