Description Usage Arguments Value
Runs a backwards pass through the network.
1 | backprop(model, error, forward_pass)
|
model |
list of all the weights and biases |
error |
gradients to the output of the network |
forward_pass |
intermediate values from the forward pass |
list of derivatives after the backwards pass
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