Difference between Leaky ReLU and ReLU activation function?

What is an Activation Function? An activation function is a critical component in neural networks. It determines a neuron’s output after the neuron processes its inputs by computing a weighted sum. The activation function decides whether the neuron should be activated or not, introducing nonlinearity to the model. This nonlinearity enables the model to learn…

Read More