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
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
Phát hành các Ghi chú:
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
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