annGRADE12

Multiple Choice

What is a neural network?

• A biological network of neurons in the brain.

• A type of computer hardware used for complex calculations

• . A machine learning model inspired by the human brain

• A mathematical equation for linear regression.

Multiple Choice

What are neurons in a neural network?

• . Cells in the human brain.

• Mathematical functions that process inputs and produce outputs

• Nodes that make up the layers of a neural network.

Multiple Choice

If the output of a node exceeds a specified threshold value, the node is activated, and its output is passed to the next layer of the network

• TRUE

• FALSE

Multiple Choice

. The term “deep” in deep learning refers to the number of INPUT layers (also called depth) of a neural network

• TRUE

• FALSE

Multiple Choice

The given ANN is an example of _________

• Basic Neural Network

• Deep Neural Network

Multiple Choice

What is the role of activation functions in neural networks?

• They determine the learning rate of the network.

• They control the size of the neural network

• They define the input features of the network.

• They introduce non-linearity, allowing the network to learn complex patterns

Multiple Choice

What is backpropagation in neural networks?

• The process of adjusting weights and biases to minimize the error in the network

• The process of propagating signals from the output layer to the input layer

• . The process of initializing the weights and biases of the network.

• The process of defining the architecture of the neural network.

Multiple Choice

PERCEPTRON HAS ________ LAYER OF INPUT NODES

• SINGLE

• MULTIPLE

• DOUBLE

Multiple Choice

IN FFNN DATA FLOWS ONLY IN SINGLE DIRECTION

• TRUE

• FALSE

Multiple Select

WHICH OF THE FOLLOWING ARE VALID IN CNN

• Uses filters to extract images

• Has 3D dimensions of neurons

• Used in medical imaging

• used in style transfer

Multiple Choice

RNN are designed for sequential data

• TRUE

• FALSE

Multiple Choice

GAN consists of two neural networks

• TRUE

• FALSE

Multiple Choice

Which type of neural network is commonly used for image recognition?

• Feedforward neural network

• Recurrent neural network.

• Convolutional neural network

Multiple Choice

How do neural networks learn from data

• By adjusting their weights and biases based on the error in their predictions

• By memorizing the training data.

• By using a fixed set of rules

• By ignoring the input data.