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AbstractLayer --+
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InputLayer
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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.
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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. |
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. |
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