Deep Learning for Manufacturing: Overview and Applications - DZone AI

Before getting into the details of deep learning for manufacturing, it's good to step back and view a brief history. Concepts, original thinking, and physical inventions have been shaping the world economy and manufacturing industry since the beginning of the modern era, i.e. early 18th century. Ideas of economies-of-scale by the likes of Adam Smith and John Stuart Mill, the first industrial revolution and steam-powered machines, electrification of factories and the second industrial revolution, and the introduction of the assembly line method by Henry Ford are just some of the prime examples of how the search for high efficiency and enhanced productivity have always been at the heart of manufacturing. However, almost all of these inventions centered around extracting the maximum efficiency from men and machines by carefully manipulating the laws of mechanics and thermodynamics. For the past few decades, however, the greatest new gains in manufacturing have come from adding the concept of information or data into the existing mix.