brainstorm/handlers/base_handler.py
def sigmoid_deriv(self, x, y, dy, dx):
        """Backpropagate derivatives through the sigmoid function.

        Args:
            x (array_type): Inputs to the sigmoid function.
                            This argument is not used and is present only to
                            conform with other activation functions.
            y (array_type): Outputs of the sigmoid function.
            dy (array_type): Derivatives with respect to the outputs.
            dx (array_type): Array in which the derivatives with respect to
                             the inputs are placed.
        Returns:
            None
        """
Backpropagate derivatives through the sigmoid function.

        Args:
            x (array_type): Inputs to the sigmoid function.
                            This argument is not used and is present only to
                            conform with other activation functions.
            y (array_type): Outputs of the sigmoid function.
            dy (array_type): Derivatives with respect to the outputs.
            dx (array_type): Array in which the derivatives with respect to
                             the inputs are placed.
        Returns:
            None
        
Backpropagate derivatives through the sigmoid function.
Backpropagate derivatives through the sigmoid function .
def sigmoid_deriv(self, x, y, dy, dx):
def sigmoid_deriv ( self , x , y , dy , dx ) :
Backpropagate derivatives through the sigmoid function.
Backpropagate derivatives through the sigmoid function .
"""Backpropagate derivatives through the sigmoid function.

        Args:
            x (array_type): Inputs to the sigmoid function.
                            This argument is not used and is present only to
                            conform with other activation functions.
            y (array_type): Outputs of the sigmoid function.
            dy (array_type): Derivatives with respect to the outputs.
            dx (array_type): Array in which the derivatives with respect to
                             the inputs are placed.
        Returns:
            None
        """
None
self
x
Inputs to the sigmoid function.
This argument is not used and is present only to
conform with other activation functions.
Inputs to the sigmoid function . This argument is not used and is present only to conform with other activation functions .
y
Outputs of the sigmoid function.
Outputs of the sigmoid function .
dy
Derivatives with respect to the outputs.
Derivatives with respect to the outputs .
dx
Array in which the derivatives with respect to
the inputs are placed.
Array in which the derivatives with respect to the inputs are placed .