Deep learning algorithms are powered by large amounts of data and training examples. The more data you can provide, the better the deep learning algorithm will perform. Deep learning algorithms can also be tuned to specific tasks, such as image recognition or text recognition.
Deep learning is a popular technique for training neural networks because it can produce good results with a small number of training examples. Deep learning algorithms are also relatively easy to implement.
Deep learning is used in a variety of applications, including:
Predicting business outcomes
Predicting consumer behavior
Deep learning is also being used to develop autonomous vehicles, voice-activated assistants, and other types of robotics.