Deep Learning Activation Functions

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

Bynajib

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…

neural network activation

What is the purpose of activation functions in neural networks?

Bynajib

Activation functions are key in neural networks, especially in deep learning. They add non-linearity to the network. This lets it learn and show complex patterns in data. Without them, a neural network would just be like a simple linear model, no matter how many layers it has. The activation function takes the weighted sum of…