Deep Learning

Acronym: DL

Deep learning (DL), which is also known as deep structured learning or hierarchical learning, is a subset of machine learning. It is loosely based on the way neurons connect to one another to process information in animal brains. To imitate these connections, DL uses layered algorithmic architecture known as artificial neural networks (ANNs) to analyze data. By analyzing how data is filtered through an ANN’s layers and how the layers interact with one another, a DL algorithm can 'learn' to make correlations and connections in the data. [https://healthitanalytics.com/features/types-of-deep-learning-their-uses-in-healthcare](https://healthitanalytics.com/features/types-of-deep-learning-their-uses-in-healthcare)