Question - What are activation functions?
Answer -
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