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Deep Learning for NLP (without Magic) References Richard Socher,* Yoshua Bengio,† and Christopher Manning* *Department of Computer Science, Stanford University

Consider a supervised learning problem where we have access to labeled training examples (x^{(i)}, y^{(i)}). Neural networks give a way of defining a complex, non

Istituto Dalle Molle di Studi sull’Intelligenza Artiﬁciale University of Lugano & SUPSI Galleria 2, 6928 Manno-Lugano 1 Introduction to Deep Learning

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This post will utilize freely-available materials from around the web in a cohesive order to first gain some understanding of deep Deep Learning Tutorial

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Deep learning attracts lots of attention. • I believe you have seen lots of exciting results before. This talk focuses on the basic techniques.

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