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UNIT-1 Neural Networks Quiz-1 FINAL

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

Which component of the human brain is often likened to the central?

a)

Cerebellum

b)

Cerebrum

c)

Brainstem

d)

Thalamus

2.

What distinguishes an artificial neuron from a biological neuron?

a)

Artificial neurons have dendrites

b)

Artificial neurons transmit electrical impulses

c)

Biological neurons use chemical signals

d)

Biological neurons do not learn

3.

Which is a core terminology in neural?

a)

Gene editing

b)

Backpropagation

c)

Amplification

d)

Refraction

4.

Which of the following best describes the primary function of an artificial?

a)

Amplify input signals

b)

Mimic DNA replication

c)

Perform nonlinear transformations

d)

Store long-term memory

5.

Which of the following is NOT a neural network architecture?

a)

Convolutional Neural Network

b)

Radial Basis Function Network

c)

Decision Tree Network

d)

Recurrent Neural Network

6.

Which activation function outputs values between 0 and 1?

a)

ReLU

b)

Sigmoid

c)

Tanh

d)

Linear

7.

What is a key application of neural?

a)

Virus mutation

b)

Image classification

c)

Drug synthesis

d)

Chemical bonding

8.

Which learning method involves labeled?

a)

Reinforcement Learning

b)

Supervised Learning

c)

Unsupervised Learning

d)

Self-Supervised Learning

9.

What inspired the development of artificial neural networks in computing?

a)

Quantum mechanics

b)

Biological neurons

c)

Chemical reactions

d)

Relational databases

10.

Which part of the biological neuron receives input from other neurons?

a)

Axon

b)

Soma

c)

Dendrite

d)

Synapse

11.

What is the function of the activation function in an artificial neuron?

a)

Calculates weight

b)

Stores output

c)

Introduces non-linearity

d)

Normalizes data

12.

Which terminology describes the strength of connection between two?

a)

Bias

b)

Weight

c)

Threshold

d)

Activation

13.

Which network is more adaptable to learning: biological or artificial?

a)

Artificial

b)

Neither

c)

Both are equal

d)

Biological

14.

What does the architecture of a neural network determine?

a)

Learning rate

b)

Structure of connections

c)

Type of activation

d)

Output accuracy

15.

Which of the following is a learning method in neural networks?

a)

Experimental

b)

Supervised

c)

Behavioral

d)

Genetic

16.

Which activation function outputs -1 to?

a)

ReLU

b)

Sigmoid

c)

Tanh

d)

Step

17.

Which of these is a real-world application of neural networks?

a)

Gravity measurement

b)

Handwriting recognition

c)

Paper folding

d)

Gear manufacturing

18.

What type of learning uses rewards or?

a)

Unsupervised

b)

Reinforcement

c)

Supervised

d)

Logical

19.

Which term defines the initial value added to neuron input?

a)

Weight

b)

Bias

c)

Error

d)

Learning rate

20.

Which type of learning finds patterns in?

a)

Reinforcement

b)

Supervised

c)

Unsupervised

d)

Experimental