Question 1

What is the activation function used in the Perceptron model?

Accepted Answer

Step function

Answer

ReLU function

Answer

Sigmoid function

Answer

Tanh function

Question 2

What is the Perceptron model used for in Machine Learning?

Accepted Answer

Binary classification

Answer

Language translation

Answer

Image recognition

Answer

Speech synthesis

Question 3

Which activation function is commonly used in the Perceptron model?

Accepted Answer

Step function

Answer

ReLU function

Answer

Tanh function

Answer

Sigmoid function

Question 4

What is the main purpose of training a Perceptron model?

Accepted Answer

To optimize the model's weights

Answer

To generate new data

Answer

To visualize data patterns

Answer

To evaluate model accuracy

Question 5

Which of the following is NOT a characteristic of a Perceptron model?

Accepted Answer

Non-linearity

Answer

Weighted inputs

Answer

Bias term

Answer

Threshold activation

Question 6

What does the term 'perceptron' refer to in the context of the Perceptron model?

Accepted Answer

A single artificial neuron

Answer

A type of dataset

Answer

A visualization tool

Answer

A machine learning algorithm

Question 7

In the Perceptron model, what is the purpose of the bias term?

Accepted Answer

To shift the decision boundary

Answer

To adjust the learning rate

Answer

To determine the number of layers

Answer

To measure model accuracy

Question 8

What is the learning algorithm used in training a Perceptron model?

Accepted Answer

Perceptron learning algorithm

Answer

K-nearest neighbors algorithm

Answer

Random Forest algorithm

Answer

Backpropagation algorithm

Question 9

What is the output of a perceptron?

Accepted Answer

Binary (0 or 1)

Answer

Complex number

Answer

Categorical label

Answer

Continuous numeric value

Question 10

What is the purpose of the activation function in a Perceptron model?

Accepted Answer

To introduce non-linearity

Answer

To compute weight updates

Answer

To adjust the learning rate

Answer

To measure model accuracy

Question 11

What is the main limitation of the Perceptron model?

Accepted Answer

Inability to handle non-linearly separable data

Answer

Lack of interpretability

Answer

Slow training process

Answer

High computational cost

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