Question 1

What is the purpose of the activation function in artificial neural networks?

Accepted Answer

To introduce non-linearity

Answer

To perform addition

Answer

To store data

Answer

To calculate gradients

Question 2

What is backpropagation in artificial neural networks?

Accepted Answer

A method to adjust the weights in the network by minimizing the error

Answer

A process to visualize network architecture

Answer

A method to add more layers to the network

Answer

A technique to increase computational speed

Question 3

Which of the following is a key component of artificial neural networks?

Accepted Answer

Neurons

Answer

Molecules

Answer

Atoms

Answer

Cells

Question 4

What is a common type of artificial neural network architecture used for image classification?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Recurrent Neural Networks (RNNs)

Answer

Radial Basis Function (RBF) Networks

Answer

Self-Organizing Maps (SOMs)

Question 5

In artificial neural networks, what is the purpose of the bias term?

Accepted Answer

To shift the activation function to better fit the data

Answer

To store the training data

Answer

To determine the number of neurons in a layer

Answer

To connect different layers in the network

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