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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 Jun 8, 2021
  • Python

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

  • Updated Aug 10, 2021
  • Jupyter Notebook
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.

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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