Artificial Intelligence & Machine Learning
Which statement correctly explains Convolutional Neural Network (CNN)?
Difficulty: Hard
About this MCQ
This Hard Artificial Intelligence & Machine Learning question asks: Which statement correctly explains Convolutional Neural Network (CNN)? The correct choice is D. A type of deep neural network especially effective at processing grid-like data such as images.. Read the options below, commit to one, then use the explanation to see why that choice holds and why the others do not.
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- A. An unsupervised learning technique that groups similar data points together based on shared characteristics.
Why not A: “An unsupervised learning technique that groups similar data points together based on shared characteristics.” is not A type of deep neural network especially effective at processing grid-like data such as images..
- B. A fundamental machine learning concept describing the balance between a model's simplicity and its flexibility to fit data.
Why not B: “A fundamental machine learning concept describing the balance between a model's simplicity and its flexibility to fit data.” is not A type of deep neural network especially effective at processing grid-like data such as images..
- C. A type of neural network designed to recognize patterns in sequential data by maintaining memory of previous inputs.
Why not C: “A type of neural network designed to recognize patterns in sequential data by maintaining memory of previous inputs.” is not A type of deep neural network especially effective at processing grid-like data such as images..
- D. A type of deep neural network especially effective at processing grid-like data such as images. ✓
Correct answer
D. A type of deep neural network especially effective at processing grid-like data such as images.
Explanation
A type of deep neural network especially effective at processing grid-like data such as images is the term that matches Which statement correctly explains Convolutional Neural Network CNN option D Option A An unsupervised learning technique that groups similar data points together based on shared characteristics is a different value from A type of deep neural network especially effective at processing grid-like data such as images Option B A fundamental machine learning concept describing the balance between a model's simplicity and its flexibility to fit data is a different value from A type of deep neural network especially effective at processing grid-like data such as images Option C A type.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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