Deep learning: What it is and how it works with artificial neural networks

Deep Learning

Deep learning is a subfield of machine learning that involves the use of algorithms called artificial neural networks (ANNs) to extract information from raw data with high accuracy.

ANNs are inspired by the structure and function of the brain; deep learning teaches machines to learn in a way that humans learn.

Humans use information from previous exposure to an object to remember it when sighted again; this applies to both images and speech.

Similarly, machines are exposed to an enormous database of information to learn the details contained within them, which they are to apply to future tasks.

Deep learning is being widely applied in subfields of medicine, including radiology, pathology, etc.

It is exposed to millions of labeled patient scans, i.e., those with attached diagnoses, to immediately recognize these diseases or diagnoses with high accuracy at subsequent exposure, saving health professionals the time needed to personally review scan images.