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Package Bio :: Package NeuralNetwork :: Package BackPropagation :: Module Layer :: Class InputLayer |
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AbstractLayer
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InputLayer
Method Summary | |
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Initialize the input layer. | |
Recalculate all weights based on the last round of prediction. | |
Update the values of the nodes using given inputs. | |
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)
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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 info we are using to calculate error. |
update(self, inputs)Update the values of the nodes using given inputs. Arguments: o inputs -- A list of inputs into the network -- this must be equal to the number of nodes in the layer. |
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