ReLU Activation Function
In a Neural network , the activation function is responsible for transubstantiating the added weighted input from the knot into the activation of the knot or affair for that input . The remedied direct activation function or ReLU activation function for short is a piecewise direct function that will affair the input directly if it's positive , else , it'll affair zero. It has come the dereliction activation function for numerous types of neural networks because a model that uses it's easier to train and frequently achieves better performance . In this tutorial, you'll discover the remedied direct activation function for deep literacy neural networks . After completing this tutorial, you'll know .The sigmoid and hyperbolic digression activation functions can not be used in networks with numerous layers due to the evaporating grade problem . The remedied direct activat