Deep learning is a subset of machine learning that involves neural
networks with three or more layers. These neural networks
simulate the behavior of the human brain, allowing them to “learn”
from large amounts of data.
Deep learning algorithms can ingest and process unstructured data, like text and images, and automate feature extraction, removing some of the dependency on human experts. They are capable of different types of learning, which are usually categorized as supervised learning, unsupervised learning, and reinforcement learning. Deep learning drives many artificial intelligence (AI) applications and services that improve automation, performing analytical and physical tasks without human intervention.