Deep learning algorithms are able to learn how to recognize patterns on their own, without being explicitly programmed to do so. This makes them particularly useful for tasks that are difficult to program, such as recognizing objects in images or recognizing the sound of words.
Deep learning algorithms are also able to learn how to generalize from past experience. This means that they can apply what they have learned in one situation to other situations, even if the situations are slightly different.
The use of deep learning algorithms has exploded in recent years, thanks to the availability of large amounts of data and the increasing power of computers. Deep learning is being used in a wide variety of applications, including business, finance, healthcare, transportation, and manufacturing.