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
Release Notes
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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