What is machine learning based on neural networks?

Machine learning based on neural networks is a type of artificial intelligence that mimics the way the human brain processes information. Neural networks consist of interconnected nodes that work together to identify patterns and make decisions based on data. By training these networks on large datasets, they can learn to recognize complex patterns and make predictions or classifications. This technology is being used in a wide range of applications, from image and speech recognition to self-driving cars and personalized recommendations.

This mind map was published on 3 June 2024 and has been viewed 26 times.