Learning Deep Learning (CDT-15)

Abstract

Deep learning consists of using typically large neuronal networks to effectively solve many classification and clustering problems. Its impressive performance derives from using many layers with many neurons, as well as considering large databases. In this text, we briefly describe and discuss in introductory fashion the principles of deep learning as well as some of the principal models. A companion tutorial in Python has been prepared in order to complement the presentation.

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