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VERSION:2.0
PRODID:-//DP Pro Event Calendar//3.2.6//EN
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UID:945ca68d-c294-487c-9d87-d08a817ee587
DTSTART;TZID=Europe/Paris:20210709T150000
DTEND;TZID=Europe/Paris:20210709T163000
DTSTAMP:20210601T150517Z
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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