What does the term "deep learning" refer to in AI?

What does the term “deep learning” refer to in AI?

a) A machine learning technique based on neural networks with many layers

b) A shallow neural network used in basic AI applications

c) An advanced form of decision trees

d) A technique for analyzing large datasets without supervision

Answer:

a) A machine learning technique based on neural networks with many layers

Explanation:

Deep learning is a subset of machine learning that involves the use of neural networks with multiple layers (also known as deep neural networks). These networks mimic the human brain’s ability to process data and make decisions by learning from vast amounts of data.

Deep learning is widely used in applications such as image recognition, speech recognition, and natural language processing. The “deep” in deep learning refers to the number of layers in the neural network, with more layers allowing the model to learn more complex patterns.

Deep learning models require large datasets and significant computational power but have proven to be highly effective in solving complex AI problems, surpassing traditional machine learning techniques in many domains.

Reference:

Artificial Intelligence MCQ (Multiple Choice Questions)