Learn the meaning and difference between deep learning, machine learning, and neural networks, and why they are important for artificial intelligence. Understand the examples and applications of these terms in various domains and tasks.
Table of Contents
Question
Select the three terms often heard in relation to Artificial Intelligence:
A. Deep learning
B. Machine Learning
C. iRobot
D. Neural Networks
Answer
A. Deep learning
B. Machine Learning
D. Neural Networks
Explanation
The correct answer is A, B, and D. Deep learning, machine learning, and neural networks are three terms that are often heard in relation to artificial intelligence. Here is a brief explanation of each term:
- A. Deep learning is a subset of machine learning that uses multiple layers of artificial neural networks to learn from large amounts of data and perform complex tasks, such as image recognition, natural language processing, speech synthesis, etc.
- B. Machine learning is a branch of artificial intelligence that enables computers to learn from data and experience, without being explicitly programmed. Machine learning algorithms can find patterns, make predictions, and improve their performance over time, based on feedback or new data.
- C. iRobot is not a term related to artificial intelligence, but a company that produces consumer robots, such as vacuum cleaners, mops, and lawn mowers. iRobot also has a military and industrial division that develops robots for defense, security, and public safety applications.
- D. Neural networks are computational models that are inspired by the structure and function of biological neurons. Neural networks consist of interconnected units called neurons, which can process and transmit information. Neural networks can learn from data and adapt to changing inputs, and are widely used for artificial intelligence applications.
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