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CEC Semenster Undefined

Deep Learning in Industrial Systems

Louis Giokas -
May 8,
2017
An Overview of Deep Learning Technologies and Applications
While Neural Networks are the main technology we will look at the whole range of technologies that are connected with Deep Learning and the relationship to Machine Learning (ML) and Artificial Intelligence (AI). We will also look at applications, including some not part of Industrial Systems to give context to what we are discussing.
Course Resources
Special Educational Materials
TI SMCTI TPS2660x Industrial eFuses Video
TI ISO774x Digital Isolators Video
TI OPA388 NPHFactory Automation with Spansion FM ARM Cortex-M Microcontrollers - Video
Download Archive (mp3 - audio only)
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louis-giokas
Instructor
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, systems engineer and staff engineer. While there he worked on spacecraft and military systems. Prior to that he worked for companies such as Sperry UNIVAC and Link Simulation Systems, also working or spacecraft and military systems. Over the past two decades he has worked in the database management software area for Oracle and IBM. Over the past several years he has worked on development projects and has consulted in a number of different areas, including embedded systems. He is a long-standing member of the Institute of Electrical and Electronics Engineers (IEEE). Currently, he is the secretary of the Fox Valley Subsection of the Chicago Section and chairman of the Computer Society of the Chicago Section. He has a degree in Computer Science from Villanova University and is pursuing a MS in Applied Statistics from DePaul University.