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Package Bio :: Package NeuralNetwork :: Package BackPropagation :: Module Layer :: Class HiddenLayer |
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AbstractLayer
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HiddenLayer
Method Summary | |
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Initialize a hidden layer. | |
Recalculate all weights based on the last round of prediction. | |
Update the values of nodes from the previous layer info. | |
Inherited from AbstractLayer | |
Debugging output. | |
Set a weight value from one node to the next. |
Method Details |
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__init__(self,
num_nodes,
next_layer,
activation=<function logistic_function at 0xb7434d84>)
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backpropagate(self, outputs, learning_rate, momentum)Recalculate all weights based on the last round of prediction. Arguments: o learning_rate -- The learning rate of the network o momentum - The amount of weight to place on the previous weight change. o outputs - The output values we are using to see how good our network is at predicting things. |
update(self, previous_layer)Update the values of nodes from the previous layer info. Arguments: o previous_layer -- The previous layer in the network. |
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