“Demystifying Deep Neural Networks,” a Presentation from BDTI

Shehrzad Qureshi, Senior Engineer at BDTI, presents the "Demystifying Deep Neural Networks" tutorial at the May 2017 Embedded Vision Summit.

What are deep neural networks, and how do they work? In this talk, Qureshi provides an introduction to deep convolutional neural networks (CNNs), which have recently demonstrated impressive success on a wide range of vision tasks. Without using a lot of complex math, he introduces the basics of CNNs. He explores the differences between shallow and deep networks, and explains why deep learning has only recently become prevalent. He examines the different types of layers used in contemporary CNN designs and illustrates why networks composed of these layers are well suited to vision tasks.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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