Neural Activation Function Explained for Beginners

Neural activation functions are important components of artificial neural networks.

They help decide whether a neuron in the network is activated or not.

You can think of it like a switch that determines whether a signal is passed on.

Without activation functions, networks could not learn complex patterns because everything would be linear.

There are different types of activation functions that are used depending on the task.