Neural Networks MCQs for Class 12

What is the primary function of a neural network in machine learning?

• To store large datasets

• To mimic the human brain’s pattern recognition and decision-making

• To increase computer speed

• To reduce dataset dimensions

Which of the following statements about neurons in a neural network is correct?

• Neurons always output binary values only.

• Neurons can only process numeric data.

• Each neuron performs a weighted sum of inputs followed by an activation function.

• Each neuron works independently without connection to others.

Which of these is NOT a component of a neural network?

• Weights

• Bias

• Regression coefficient

• Activation Function

In an ANN, bias helps:

• In increasing learning rate

• In decreasing activation function output

• In shifting the activation function horizontally

• In making weights equal

What does the weight in a neural network represent?

• The neuron’s activation level

• The strength or importance of an input feature

• The number of neurons in a layer

• The loss function

What differentiates a Deep Neural Network from a basic Neural Network?

• Presence of two or more hidden layers

• Use of linear activation

• Use of only one hidden layer

• Fixed weights

What happens during Forward Propagation?

• Errors are minimized

• Weights are updated

• Inputs pass through layers to generate an output

• Gradient is computed

Backpropagation updates the network’s weights by:

• Random assignment

• Increasing learning rate

• Using gradient descent to minimize loss

• Resetting all neurons

Which of these best describes a perceptron?

• A multi-layered model

• A single-layer binary classifier using threshold logic

• A recursive neural model

• A model using convolution layers

Which of the following is NOT true about neural networks?

• They can automatically extract data features.

• They cannot adapt to changing inputs.

• They mimic the behavior of human neurons.

• They can be trained using large datasets.