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tensorflow-tutorials

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TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.

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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  • Updated Sep 2, 2020
  • Python
seq2seq-signal-prediction
guillaume-chevalier
guillaume-chevalier commented Nov 26, 2017

The code would already produce charts in English. However, the current charts are in French.

One would need to try all the exercises to regenerate new charts, incorporate them in the notebook, and then regenerate the README in a clean way, as well as the .py file if the code in the notebook changed.

The French branch (which is named francais) should remain untouched.

nsfw-filter
YegorZaremba
YegorZaremba commented Aug 6, 2020

When I go to some page filter check images, after that if I return to the same page, the filter will check images again
So it would be great if we start caching images URLs and prediction result for recently visited pages

Lets store links and true/false results in Map on background script side. Max Map size is 100-200 URLs, Cache type LRU

Created by Google Brain Team

Released November 9, 2015

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tensorflow
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www.tensorflow.org
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