Convolutional Neural Networks for Visual Inspection in Industrial Processes

Dive into the world of Convolutional Neural Networks (CNNs) for visual inspection in industrial downstream processes in this 50-minute webinar. Explore how to train robust neural networks with limited datasets, as Andreas Baum reveals techniques for achieving remarkable results using as few as 100 images through clever application of PLS-inspired constraints. Bust the myth that massive datasets are always necessary for effective CNN training and gain insights into optimizing visual inspection processes in industrial settings.