Wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

General Questions

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.
  1. Who published the first theoretical model of an artificial neural network in 1943?

a)

    •  Alan Turing

b)

    • Warren McCulloch & Walter Pitts

c)

    • John Searle

d)

    • Geoffrey Hinton

2.
  1. What question did Alan Turing famously ask in the 1950s?

a)

"Can robots dream?"

b)

"What is intelligence?"

c)

"Can machines think?"

d)

"How to teach a machine?"

3.
  1. What is “Weak AI”?

a)

AI that learns slowly

b)

AI that appears smart but doesn't understand

c)

AI without data

d)

AI that is smaller than Deep Learning

4.
  1. Which of the following is NOT a type of data used in AI?

a)

Numerical

b)

Textual

c)

Image/Video

d)

Political Speech

5.

What happens when a model is "overfitted"?

a)

It performs better on new data

b)

It underestimates test results

c)

It memorizes training data and fails on new data

d)

It ignores training examples

6.
  1. Which type of ML involves learning from labeled input–output pairs?

a)

Supervised

b)

Unsupervised

c)

Reinforcement

d)

Semi-supervised

7.
  1. What is the process of adjusting weights based on error called?

a)

Forward propagation

b)

Overfitting

c)

Backpropagation

d)

Reinforcement

8.

Which is not a source of AI bias?

a)

Data bias

b)

Algorithmic bias

c)

Societal bias

d)

Temperature bias

9.

What makes a neural network "deep"?

a)

Wide input layers

b)

Many hidden layers

c)

Big datasets

d)

GPU usage

10.

Which neural network is best at handling sequential data like text or speech?

a)

Convolutional Neural Network (CNNs)

b)

Feedforward Neural Network

c)

Recurrent Neural Networks (RNNs)

d)

Expert System

11.

What do Convolutional Neural Networks (CNNs) specialize in?

a)

Translating text

b)

Detecting bias

c)

Generating speech

d)

Recognizing spatial patterns in images

12.

What are the 3 main steps in training an AI model?

a)

    • Collection → Sharing → Selling

b)

    • Storage → Visualization → Summarizing

c)

    • Acquisition → Labeling → Training

d)

    • Download → Testing → Coding

13.

What is "feature extraction" in ML?

a)

Removing useless code

b)

Compressing large files

c)

Encrypting training data

d)

Turning raw data into useful characteristics

14.

Which ML type uses rewards to learn?

a)

Supervised

b)

Unsupervised

c)

Reinforcement

d)

Semi-supervised

15.
  1. What does the “loss function” do in neural networks?

a)

Stores weights

b)

Deletes poor models

c)

Tracks CPU usage

d)

Measures error