biopython v1.71.0 Bio.NeuralNetwork.BackPropagation.Layer.HiddenLayer
Initialize a hidden layer.
Arguments:
- num_nodes — The number of nodes in this hidden layer.
- next_layer — The next layer in the neural network that this is connected to.
- activation — The transformation function used to transform predicted values.
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Functions
Recalculate all weights based on the last round of prediction
Update the values of nodes from the previous layer info
Link to this section Functions
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__init__()
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backpropagate()
Recalculate all weights based on the last round of prediction.
Arguments:
- learning_rate — The learning rate of the network
- momentum - The amount of weight to place on the previous weight change.
- outputs - The output values we are using to see how good our network is at predicting things.
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update()
Update the values of nodes from the previous layer info.
Arguments:
- previous_layer — The previous layer in the network.