A Transformer Chatbot Tutorial with TensorFlow 2.0
https://blog.tensorflow.org/2019/05/transformer-chatbot-tutorial-with-tensorflow-2.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjubJSdXkMwulhxB3g5tOEJ8Iihc7BMxsdEtJicdRWon1GZi8mhkpN-gN8heS8ZyJT4R7JZ_mLm_gqorKAvETrAKq1P3Msn7x9M7gU2iPkl0BBKevmuiyjMJRu3u186jem5yXEdIJ5mC1I/s1600/transformer.png May 23, 2019 — A guest article by Bryan M. Li, FOR.ai The use of artificial neural networ
Effective TensorFlow 2.0: ベスト プラクティスã¨å¤‰æ›´ç‚¹
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GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT
***** New March 11th, 2020: Smaller BERT Models ***** This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece masking) referenced in Well-Read Students Learn Better: On the Importance of Pre-training Compact Models. We have shown that the standard BERT recipe (including model architecture and training objective) is effective on a wide range of model sizes, beyond
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Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? TL;DR Colabã®TPUを使ã£ã¦ä»Šã™ãCNNを試ã—ã¦ã¿ã‚ˆã†ã€‚ã‚‚ã®ã™ã”ã„速ã„ãžã€‚ ã¯ã˜ã‚ã« 9/26夜ã€Google Colaboratoryユーザーã«æ¿€éœ‡ãŒèµ°ã£ãŸã€‚ **ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ã‚¢ã‚¯ã‚»ãƒ©ãƒ¬ãƒ¼ã‚¿ã«TPUãŒä½¿ãˆã‚‹ã‚ˆã†ã«ãªã£ã¦ã‚‹ï¼ï¼Ÿ**TPU(Tensor Processing Unit)凄ã•ã¯ã“ã®ãƒ‹ãƒ¥ãƒ¼ã‚¹ã‚’見れã°æã‚ã—ã„ã»ã©ä¼ã‚ã£ã¦ãる。 COOL Chips 21 - Googleã®Webサービスを支ãˆã‚‹ã€ŒTPU〠https://news.mynavi.jp/article/20180424-621091/ TPU v1ã¯In
roamresearch/BlogPosts/Modern_TensorFlow at master · roamanalytics/roamresearch · GitHub
Author: Guillaume Genthial Date: 2018-09-24 TL;DR: Recent changes to TensorFlow make it much easier to develop and productionize deep learning models. We've created a notebook full of code snippets that illustrate the new design patterns and features, including a number of tips and tricks specific to developing NLP models. The notebook of code snippets [nbviewer view for better formatting] Blog po
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