What is the purpose of the activation function in a neural network?Review LaterIt determines the learning rate of the network.It controls the complexity of the model.It defines the loss function to be optimized.It introduces nonlinearity into the network.

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?

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.

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 role does the activation function play in the back-propagation algorithm for training multilayer feed-forward neural networks? a. It defines the initial weights of the network. b. It calculates the error between predicted and actual outputs. c. It determines the learning rate during weight updates. d. It introduces non-linearity to the network and aids in capturing complex patterns.