Difference between revisions of "NLP Keras model in browser with TensorFlow.js"
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** [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://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] | ||
| − | * Tools: | + | * [[Natural Language Tools & Services]]: |
** [[Keras]] | ** [[Keras]] | ||
*** [http://keras.io/preprocessing/sequence/#pad_sequences keras.preprocessing.sequence.pad_sequences | Keras Documentation] | *** [http://keras.io/preprocessing/sequence/#pad_sequences keras.preprocessing.sequence.pad_sequences | Keras Documentation] | ||
| Line 26: | Line 26: | ||
** [[Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)]] | ** [[Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)]] | ||
** [[Attention Mechanism/Model - Transformer Model]] | ** [[Attention Mechanism/Model - Transformer Model]] | ||
| + | ** [[Global Vectors for Word Representation (GloVe)]] | ||
SOTA = State of the Art | SOTA = State of the Art | ||
Revision as of 16:27, 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]
