Bio.NeuralNetwork.BackPropagation.Layer.InputLayer

Package Bio :: Package NeuralNetwork :: Package BackPropagation :: Module Layer :: Class InputLayer

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Class InputLayer

AbstractLayer --+
                |
               InputLayer

Method Summary
	`__init__(self, num_nodes, next_layer)` Initialize the input layer.
	`backpropagate(self, outputs, learning_rate, momentum)` Recalculate all weights based on the last round of prediction.
	`update(self, inputs)` Update the values of the nodes using given inputs.
Inherited from AbstractLayer
	`__str__(self)` Debugging output.
	`set_weight(self, this_node, next_node, value)` Set a weight value from one node to the next.

Method Details

Initialize the input layer.

Arguments:

o num_nodes -- The number of nodes in the input layer.

o next_layer -- The next layer in the neural network this is connected to.

Overrides:: Bio.NeuralNetwork.BackPropagation.Layer.AbstractLayer.__init__

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 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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