Difference between revisions of "NLP Keras model in browser with TensorFlow.js"
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* [http://towardsdatascience.com/nlp-keras-model-in-browser-with-tensorflow-js-f4d5035466a2 NLP Keras model in browser with TensorFlow.js | Mikhail Salnikov - Towards Data Science] | * [http://towardsdatascience.com/nlp-keras-model-in-browser-with-tensorflow-js-f4d5035466a2 NLP Keras model in browser with TensorFlow.js | Mikhail Salnikov - Towards Data Science] | ||
** [http://deepdivision.net/2019/03/20/nlp-keras-model-in-browser-with-tensorflowjs.html Named-entity recognition TensorFlow.js demo] | ** [http://deepdivision.net/2019/03/20/nlp-keras-model-in-browser-with-tensorflowjs.html Named-entity recognition TensorFlow.js demo] | ||
| − | ** [http://github.com/MihailSalnikov/NERjs | + | ** [http://github.com/MihailSalnikov/NERjs Code: NERjs | GitHub] |
* [http://karpathy.github.io/2015/05/21/rnn-effectiveness/ The Unreasonable Effectiveness of Recurrent Neural Networks | Andrej Karpathy - Towards Data Science] | * [http://karpathy.github.io/2015/05/21/rnn-effectiveness/ The Unreasonable Effectiveness of Recurrent Neural Networks | Andrej Karpathy - Towards Data Science] | ||
* [[Natural Language Tools & Services]]: | * [[Natural Language Tools & Services]]: | ||
Revision as of 18:51, 30 April 2019
Youtube search... | ...Google search
How to use your Keras model in browser with tensorflow.js
- NLP Keras model in browser with TensorFlow.js | Mikhail Salnikov - Towards Data Science
- The Unreasonable Effectiveness of Recurrent Neural Networks | Andrej Karpathy - Towards Data Science
- Natural Language Tools & Services:
- Datasets:
- Sequence to Sequence (Seq2Seq) Model:
SOTA = State of the Art
Mr. [B-PER] Johnson [I-PER] like Moscow! [B-LOC]
