blake-lowe / neural-net Goto Github PK
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License: MIT License
Steps to reproduce:
Create net. Call net = net.backpropagate()
Expected behaviour:
weights of the net will change slightly toward the targetValue depending on learningRate
Actual behavior:
weights of net all become zero.
Notes:
the output of the broken net is 0.5 because sigmoid of 0 is 0.5.
Steps to reproduce:
Create net. Call net = net.backpropagate()
Expected behaviour:
weights will take on various float values bounded by 0 and 1
Actual behavior:
some weights become negative
Notes:
values are not negative because they are normalized
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