backprop {simpleMLP}

Backpropagation

Description

Runs a backwards pass through the network.

Usage

backprop(model, error, forward_pass)

Arguments

model

list of all the weights and biases

error

gradients to the output of the network

forward_pass

intermediate values from the forward pass

Value

list of derivatives after the backwards pass