FunctionNNLayer

26 déc. 2021

Library "FunctionNNLayer"
Generalized Neural Network Layer method.

function(inputs, weights, n_nodes, activation_function, bias, alpha, scale) Generalized Layer.
  Parameters:
    inputs: float array, input values.
    weights: float array, weight values.
    n_nodes: int, number of nodes in layer.
    activation_function: string, default='sigmoid', name of the activation function used.
    bias: float, default=1.0, bias to pass into activation function.
    alpha: float, default=na, if required to pass into activation function.
    scale: float, default=na, if required to pass into activation function.
  Returns: float

18 avr. 2022

Notes de version

v2 Support for matrices

Updated:
function(inputs, weights, n_nodes, activation_function, bias, alpha, scale) Generalized Layer.
  Parameters:
    inputs: float array, input values.
    weights: float matrix, weight values.
    n_nodes: int, number of nodes in layer.
    activation_function: string, default='sigmoid', name of the activation function used.
    bias: float, default=1.0, bias to pass into activation function.
    alpha: float, default=na, if required to pass into activation function.
    scale: float, default=na, if required to pass into activation function.
  Returns: float