Bio.NeuralNetwork.BackPropagation.Layer.HiddenLayer

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

[show private | hide private]

Class HiddenLayer

AbstractLayer --+
                |
               HiddenLayer

Method Summary
	`__init__(self, num_nodes, next_layer, activation)` Initialize a hidden layer.
	`backpropagate(self, outputs, learning_rate, momentum)` Recalculate all weights based on the last round of prediction.
	`update(self, previous_layer)` Update the values of nodes from the previous layer info.
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 a hidden layer.

Arguments:

o num_nodes -- The number of nodes in this hidden layer.

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

o activation -- The transformation function used to transform predicted values.

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 values we are using to see how good our network is at predicting things.

Update the values of nodes from the previous layer info.

Arguments:

o previous_layer -- The previous layer in the network.

Generated by Epydoc 2.1 on Wed Jan 31 09:58:00 2007