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In this talk we will introduce artificial neural networks and their similarities to how the brain works. We will provide some history and theoretical foundations to introduce feedforward multilayer neural networks, describing their predictive and learning ability, and some of their applications in the real world. This is part one of an introductory pair of talks on deep learning concepts and theory.
Valentino Zocca has a Ph.D. in Mathematics from the University of Maryland with a thesis in theoretical geometry, though he has since worked on technical applications and firstonthe block VR geonavigation data tools and data analysis. Currently he lives in Italy and the United States where he works on emerging deep learning protocols and neural network architectures.
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