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Methods
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__init__
backpropagate
update
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__init__
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__init__ (
self,
num_nodes,
next_layer,
activation=logistic_function,
)
Initialize a hidden layer.
Arguments:
num_nodes -- The number of nodes in this hidden layer. next_layer -- The next layer in the neural network that this
is connected to. activation -- The transformation function used to transform
predicted values.
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backpropagate
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backpropagate (
self,
outputs,
learning_rate,
momentum,
)
Recalculate all weights based on the last round of prediction.
Arguments:
learning_rate -- The learning rate of the network momentum - The amount of weight to place on the previous weight
change. outputs - The output values we are using to see how good our
network is at predicting things.
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update
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update ( self, previous_layer )
Update the values of nodes from the previous layer info.
Arguments:
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