The Building Blocks of AI What Is A Neural Network

The Building Blocks of AI What Is A Neural Network

12th Grade

15 Qs

quiz-placeholder

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The Building Blocks of AI What Is A Neural Network

The Building Blocks of AI What Is A Neural Network

Assessment

Quiz

Computers

12th Grade

Medium

Created by

Ahmed Abdallah

Used 1+ times

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of an activation function in a neural network?

To determine whether and to what extent the neuron should be activated or fired

To calculate the weighted sum Z

To adjust the weights and biases during training

To process the inputs and produce an output

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which activation function squashes the output between 0 and 1, making it suitable for binary classification problems?

Sigmoid function

Linear function

ReLU function

Tanh function

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the hidden layers in a neural network?

To process the data and extract relevant features

To receive the initial data or features as inputs

To produce the network's output

To adjust the weights and biases during training

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the core function of a neural network?

To mimic the way the human brain processes information

To process the inputs and produce an output

To adjust the weights and biases during training

To calculate the weighted sum Z

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function replaces negative values with zero and passes positive values unchanged?

ReLU function

Sigmoid function

Linear function

Tanh function

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the input layer in a neural network?

To receive the initial data or features as inputs

To process the data and extract relevant features

To produce the network's output

To adjust the weights and biases during training

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the process called when neural networks adjust their weights and biases to minimize the difference between predictions and actual target values?

Training

Optimization

Summation

Activation

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