Question

What are activation functions?

Answer 1

Activation functions are entities in Deep Learning that are used to translate inputs into a usable output parameter. It is a function that decides if a neuron needs activation or not by calculating the weighted sum on it with the bias.

Using an activation function makes the model output to be non-linear. There are many types of activation functions:

• ReLU
• Softmax
• Sigmoid
• Linear
• Tanh