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One Perceptron to Rule them All: Deep Learning for Multimedia #A2IC2018

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Deep neural networks have boosted the convergence of multimedia data analytics in a unified framework shared by practitioners in natural language, vision and speech. Image captioning, lip reading or video sonorization are some of the first applications of a new and exciting field of research exploiting the generalization properties of deep learning. In this talk we will review the latest results on how convolutional and recurrent neural networks are combined to find the most hidden patterns in multimedia.

Published in: Data & Analytics
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