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AbstractLayer --+
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HiddenLayer
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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.
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Update the values of nodes from the previous layer info. Arguments: o previous_layer -- The previous layer in the network. |
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. |
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