A student researching neural networks has taken notes:
• Neural networks are computing systems inspired by biological brains • They learn patterns by processing large amounts of training data • Deep learning uses multiple layers to analyze increasingly complex features • Applications include image recognition and language translation • Training requires significant computational resources
The student wants to explain how neural networks learn.
Neural networks are computing systems inspired by the human brain.
Neural networks learn by processing large amounts of training data to identify patterns, with deeper layers analyzing increasingly complex features.
Applications of neural networks include image recognition and language translation.
Training neural networks requires significant computational resources.
Correct Answer: B
Choice B. Processing data to identify patterns with deeper layers explains learning.