biopython

v1.71.0

biopython v1.71.0 Bio.NeuralNetwork.BackPropagation.Layer.InputLayer

Initialize the input layer.

Arguments:

  • num_nodes — The number of nodes in the input layer.
  • next_layer — The next layer in the neural network this is connected to.

Link to this section Summary

Functions

__init__()
backpropagate()

Recalculate all weights based on the last round of prediction

update()

Update the values of the nodes using given inputs

Link to this section Functions

Link to this function __init__()
Link to this function 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 info we are using to calculate error.
Link to this function update()

Update the values of the nodes using given inputs.

Arguments:

  • inputs — A list of inputs into the network — this must be equal to the number of nodes in the layer.