iSQI Exam CT-AI Topic 9 Question 29 Discussion

A deep neural network (DNN) is a type of artificial neural network that consists of multiple layers between the input and output layers. The ISTQB Certified Tester AI Testing (CT-AI) Syllabus outlines the following characteristics of a DNN:

Structure of a Deep Neural Network:

A DNN comprises at least three types of layers:

Input layer: Receives the input data.

Hidden layers: Perform complex feature extraction and transformations.

Output layer: Produces the final prediction or classification.

Analysis of Answer Choices:

A (Only input and output layers) Incorrect, as a DNN must have at least one hidden layer.

B (At least one internal hidden layer) Correct, as a neural network must have hidden layers to be considered deep.

C (Minimum of five layers required) Incorrect, as there is no strict definition that requires at least five layers.

D (Output layer is not connected to other layers) Incorrect, as the output layer must be connected to the hidden layers.

Thus, Option B is the correct answer, as a deep neural network must have at least one hidden layer.

Certified Tester AI Testing Study Guide Reference:

ISTQB CT-AI Syllabus v1.0, Section 6.1 (Neural Networks and Deep Neural Networks)

ISTQB CT-AI Syllabus v1.0, Section 6.2 (Structure of Deep Neural Networks).