Deep Learning Activation Functions

What are common activation functions used in deep learning, such as ReLU and Sigmoid?

Activation functions are key in deep learning models. They decide what the neural network outputs. They make sure the network can learn complex data relationships. The Sigmoid, Tanh, and Rectified Linear Unit (ReLU) are top choices. These functions have special traits and uses. They affect how well and how a network trains. The Sigmoid function…