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iSQI CT-AI Exam - Topic 9 Question 29 Discussion
Topic #: 9
Which of the following is correct regarding the layers of a deep neural network?
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).
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