Machine Learning for Developers

Representing and understanding the transfer functions

Let's take a look at the following code snippet to see how the transfer function works:

    def graphTransferFunction(function):
        x = np.arange(-2.0, 2.0, 0.01)
        plt.figure(figsize=(18,8))
        ax=plt.subplot(121)
        ax.set_title(function.__name__)
        plt.plot(x, function.getTransferFunction(x))

        ax=plt.subplot(122)
        ax.set_title('Derivative of ' + function.__name__)
        plt.plot(x, function.getTransferFunctionDerivative(x))