Question Paper
Class / Subject: Class 10 (CBSE) · Artificial Intelligence
Chapter: Chapter 6 — Chapter 6: Introduction to Neural Networks
Time Allowed: 32 minutes
Max Marks: 16
1. What are neural networks inspired by? [1]
(A) The human brain
(B) Computer hardware only
(C) Random number generators
(D) Simple calculators
2. What are the basic units of a neural network called? [1]
(A) Neurons (nodes)
(B) Only wires
(C) Only screens
(D) Only keyboards
3. What are the layers of a neural network? [1]
(A) Input, hidden and output layers
(B) Only one layer
(C) Only two layers, input and output
(D) No layers at all
4. What is a 'weight' in a neural network? [1]
(A) A value on a connection, adjusted during training
(B) A physical weight of the computer
(C) The size of the dataset
(D) The speed of the computer
5. What does training a neural network do? [1]
(A) Adjusts weights to improve accuracy
(B) Deletes all data
(C) Makes the network slower on purpose
(D) Removes all layers
6. What is deep learning based on? [1]
(A) Neural networks
(B) Only simple rules programmed manually
(C) Random guessing
(D) Only human manual calculation
7. What is deep learning used for? [1]
(A) Image recognition and language translation
(B) Only basic arithmetic
(C) Only file storage
(D) Nothing useful
8. What does training a neural network require? [1]
(A) Large amounts of data and computing power
(B) No data at all
(C) Only a few seconds of processing
(D) No computing power
9. What are neural networks inspired by? [1]
(A) The human brain
(B) Computer hardware only
(C) Random number generators
(D) Simple calculators
10. What are the basic units of a neural network called? [1]
(A) Neurons (nodes)
(B) Only wires
(C) Only screens
(D) Only keyboards
11. What are the layers of a neural network? [1]
(A) Input, hidden and output layers
(B) Only one layer
(C) Only two layers, input and output
(D) No layers at all
12. What is a 'weight' in a neural network? [1]
(A) A value on a connection, adjusted during training
(B) A physical weight of the computer
(C) The size of the dataset
(D) The speed of the computer
13. What does training a neural network do? [1]
(A) Adjusts weights to improve accuracy
(B) Deletes all data
(C) Makes the network slower on purpose
(D) Removes all layers
14. What is deep learning based on? [1]
(A) Neural networks
(B) Only simple rules programmed manually
(C) Random guessing
(D) Only human manual calculation
15. What is deep learning used for? [1]
(A) Image recognition and language translation
(B) Only basic arithmetic
(C) Only file storage
(D) Nothing useful
16. What does training a neural network require? [1]
(A) Large amounts of data and computing power
(B) No data at all
(C) Only a few seconds of processing
(D) No computing power