Six ways deep learning is used in machine vision and imaging today

Deep learning concentrates on a subset of machine learning techniques, with the term "deep" generally referring to the number of hidden layers in the deep neural network. Deep learning requires substantial computing power and involves feeding large amounts of labeled data through a multi-layer neural network architecture to create a model that can classify the objects contained within the image.

While it can’t be used across all applications, the technology can in fact be applied across several different application types. Here are six recent examples of deep learning technology deployed in the real-world, in applications including the detection of diseased potatoes in the field, defect detection on PCBs, a personalized skincare recommendation phone app, and a system that enables cameras to see around corners.