What is the purpose of the activation function in a neural network?Review LaterTo determine the learning rateTo normalize the input dataTo introduce non-linearityTo calculate the loss function

In neural networks, what is the purpose of the activation function?a)To introduce non-linearity into the network.b)To control the learning rate of the network.c)To initialize the weights of the network.d)To regularize the network parameters.

explain why activation functions are necessary in neural networks. discuss what would happen if activation functions were not used?

Which activation function is commonly used in the hidden layers of a neural network to introduce non-linearity?

The objective of the Activation Function is to:1 pointReduce the Size of the NetworkHandle Non-Linearity in the NetworkHandle Linearity in the NetworkIncrease the Size of the NetworkNone of the above

What is the purpose of the sigmoid activation function in artificial neural networks?A) To compute the sum of weighted inputs.B) To determine the distance between clusters.C) To capture the spread and directionality of data points.D) To generate predictions.E) To adjust the weights and bias based on errors.