mlp_bp.py 文件源码

 复制代码def squash(self, total_net_input):
        return 1 / (1 + math.exp(-total_net_input))

    # Determine how much the neuron's total input has to change to move closer to the expected output
    #
    # Now that we have the partial derivative of the error with respect to the output (?E/?y?) and
    # the derivative of the output with respect to the total net input (dy?/dz?) we can calculate
    # the partial derivative of the error with respect to the total net input.
    # This value is also known as the delta (?) [1]
    # ? = ?E/?z? = ?E/?y? * dy?/dz?
    #