It's possible to install Python and NumPy separately ... and then apply the leaky ReLU function to the sum. The leaky ReLU function is very simple. In code: def leaky(x): if x <= 0.0: return 0.01 * x ...

ReLU is defined as g(x) = max(0,x). It is 0 when x is negative and equal to x when positive. Due to it’s lower saturation region, it is highly trainable and ...

The adaptively parametric ReLU (APReLU) is a dynamic ReLU activation function that performs non-identically for ... such as image classification. In this code, the APReLU is implemented using ...