Deep learning is a type of machine learning that uses artificial neural networks to learn from data. It’s like how we learn from our experiences and use that knowledge to make better decisions in the future.
Deep learning algorithms are designed to simulate the way the human brain works. They use a layered structure of algorithms called artificial neural networks to process information in a way that allows them to learn increasingly complex features of the data.
For example, if you wanted to teach a computer to recognize images of cats, you would feed it thousands of images of cats and tell it which ones are cats and which ones aren’t. The computer would then use deep learning algorithms to analyze the images and learn what features are common among all the cat images. Once it has learned these features, it can use them to recognize new images of cats with a high degree of accuracy.
Deep learning has been used in many different applications, including image recognition, speech recognition, natural language processing, and autonomous vehicles .