Difference between revisions of "NLP Keras model in browser with TensorFlow.js"
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* [[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)]] | ||
* [http://nodejs.org/en/ Node.js] | * [http://nodejs.org/en/ Node.js] | ||
| − | * [ | + | * [[Datasets]] |
| − | * [http://www.clips.uantwerpen.be/conll2003/ner/ Language-Independent Named Entity Recognition (II)] | + | ** [http://www.clips.uantwerpen.be/conll2003/ner/ Language-Independent Named Entity Recognition (II)] |
* [[Attention Mechanism/Model - Transformer Model]] | * [[Attention Mechanism/Model - Transformer Model]] | ||
Revision as of 06:11, 29 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 Processing (NLP) - Named Entity Recognition (NER)
- Keras
- TensorFlow.js
- Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)
- Node.js
- Datasets
- Attention Mechanism/Model - Transformer Model
SOTA = State of the Art
