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PRODID:-//DP Pro Event Calendar//3.2.6//EN
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UID:f2e17884-f66a-4933-a617-bf17a2c259fb
DTSTART;TZID=Europe/Paris:20210709T130000
DTEND;TZID=Europe/Paris:20210709T143000
DTSTAMP:20210601T150427Z
SUMMARY:Deep learning with tensorflow 1/2 & 2/2
DESCRIPTION:Since 2012\, deep neural networks have led to outstanding results in various applications\, literally exceeding any previously existing methods\, in texts\, images\, sounds\, videos\, graphs... They consist of a cascade of parametrized linear and non-linear operators whose parameters are optimized to achieve a fixed task. This tutorial will first propose a brief introduction to the solved problems and how to design such neural networks. In a second step\, notebooks will be proposed in tensorflow/keras.
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