In Neural Networks, the activation function is a key element that enables the network to learn complex patterns and non-linearity.Reasons why activation functions are necessary:Introduction of Non-linearityWithout activation functions, neural networks would be merely combinations of linear transformations.No matter how many layers are stacked, they could be expressed as a single linear function,..
