Deep learning, a subset of machine learning, aims to mimic the learning process of the human brain. Learn how it improves through repetition and requires larger data sets and longer processing times to achieve reliable accuracy and sophistication.
Today companies record process trends digitally. However, analysis is still conducted in much the same way, with operations staff manually identifying trends. Enter artificial intelligence (AI) and machine learning.
Manufacturers and quality teams stand to benefit from Automated Machine Learning (AutoML). The technology can streamline their processes, boosting quality improvement, maintenance and analytical insights.
By applying DL with a Data-Centric Approach, Users Can Streamline Even the Most Challenging Manufacturing Steps with Fast, Accurate Automated Inspection.
A sub-discipline of artificial intelligence (AI), deep learning (DL) has become a breakout technology in high-profile market sectors such as retail and high-tech.