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Deep Learning in Industrial Systems

May 08, 2017 to May 12, 2017
Continuing Education Center

Louis Giokas

Louis Giokas started out in the aerospace business holding positions in development and management. At General Electric Aerospace (now part of Lockheed Martin) he held positions of software engineer... More

Deep learning generally refers to a set of technologies, primarily Artificial Neural Networks (ANN), that are capable of processing unstructured, as well as structured, data.  Deep learning is especially important in computer vision applications as well as audio and other types of complex signals.  While there is no standard definition for Deep Learning there are recognized approaches.  There is also, as with many interdisciplinary fields, a good amount of controversy, such as that between Deep Learning, Machine Learning and AI.  In this course we will look at the technologies that make up Deep Learning concentrating on Industrial Applications.  As this is a dynamic field, we will conclude with future trends.

May 12 – Day 5: Future Trends in Deep Learning

Finally, we look at what the future of Deep Learning in Industrial Systems looks like in the near term. This is a fast moving technology area and predicting out much further would be difficult at best. We look at trends in hardware, software, algorithms and applications that can be expected in the...
May 12, 2017 - 2:00pm EDT

May 11 – Day 4: Robotics Applications

The hot application these days is robotics, especially robot vision. Automation in factories is increasing due to increased competition. Even in Asian economies with relatively lower cost labor automation is making inroads. Not all robots have vision capabilities, but this is also becoming more...
May 11, 2017 - 2:00pm EDT

May 10 – Day 3: Inspection and Anomaly Detection

Applications of Deep Learning in Industrial systems of vision systems include Inspection and anomaly detection in finished goods and machinery. We will look these applications, including how they work and how they are applied in an industrial systems. Automated inspection and anomaly detection...
May 10, 2017 - 2:00pm EDT

May 9 – Day 2: Neural Networks

This is the core technology of Deep Learning today. In this class we will review the technology and its history. Then we will look at implementations and some of the latest trends in Neural Networks. New software and hardware technologies are being applied, but have antecedents in previous efforts...
May 09, 2017 - 2:00pm EDT
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