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Room: Room 104 E/W, Bldg: School of Health Sciences and Practice (SHSP)

October 2017

Deep Learning Explained

Co-sponsored by: ASME and SME Westchester Chapters Abstract: Starting with a few seminal papers in the latter half of the 1980s, the training of multi-layer neural networks was made practical and these networks were soon used for applications in advanced nonlinear pattern recognition, control systems, and many other problems.  Although neural network applications mushroomed in the 1990s, complex architectures were still not very feasible due to the tremendous amount of computation needed for the training of deep neural networks.  The…

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