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.

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.

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.

What is the main function of a perceptron in an artificial neural network?<br /> A. 1. To compute a weighted sum of its inputs and apply an activation function to determine the output. <br />B. 2. To reduce the dimensionality of the inputs based on an activation function and learning rate. <br />C. 3. To cluster input data into positive and negative categories, followed by a sigmoid function. <br />D. 4. To optimize the network parameters using gradient descent and backward propagation.

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

The output of a node in an artificial neural network is generally derived from:Group of answer choicesthe strongest input of the node.the sum of the inputs of the node multiplied by the node’s weight.the node’s weight divided by the sum of its inputs.the activation function applied to the weighted sum of the node’s inputs.