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://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 Processing (NLP)]] | + | * [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]] ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ... [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]]: |
| − | * [[Keras]] | + | ** [[Keras]] |
| − | * [[TensorFlow.js]] | + | *** [http://keras.io/preprocessing/sequence/#pad_sequences keras.preprocessing.sequence.pad_sequences | Keras Documentation] |
| − | * [[ | + | ** [[TensorFlow.js]] |
| − | * [http:// | + | *** [http://www.tensorflow.org/js/guide/save_load tf.loadLayersModel] |
| − | * [http://www.clips.uantwerpen.be/conll2003/ner/ Language-Independent Named Entity Recognition (II)] | + | ** [[JavaScript#Node.js|Node.js]] |
| + | *** [http://serverjs.io/ server.js for Node] | ||
| + | ** [http://www.w3schools.com/js/js_json.asp JSON -JavaScript Object Notation | w3schools.com] | ||
| + | ** [[JavaScript]] | ||
| + | *** [http://www.w3schools.com/jsref/jsref_replace.asp JavaScript String replace Method] - regular expression | ||
| + | * [[Datasets]]: | ||
| + | ** [http://www.clips.uantwerpen.be/conll2003/ner/ Language-Independent Named Entity Recognition (II)] | ||
| + | * [[Sequence to Sequence (Seq2Seq)]] Model: | ||
| + | ** [[Natural Language Processing (NLP)]]: | ||
| + | *** Named Entity Recognition (NER) | ||
| + | *** Word [[Embedding]] | ||
| + | **** [[Embedding]] ... [[Fine-tuning]] ... [[Retrieval-Augmented Generation (RAG)|RAG]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]]. [[...find outliers]] | ||
| + | ** [[Recurrent Neural Network (RNN)]] | ||
| + | ** [[Attention]] Mechanism ...[[Transformer]] ...[[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]] | ||
| + | ** [[Global Vectors for Word Representation (GloVe)]] | ||
| + | |||
| + | SOTA = State of the Art | ||
| + | |||
| + | <blockquote> | ||
| + | Mr. | ||
| + | [<font color="#0000ff">B-PER</font>] | ||
| + | Johnson [<font color="#0000ff">I-PER</font>] | ||
| + | like | ||
| + | Moscow! [<font color="#00ff00">B-LOC</font>] | ||
| + | </blockquote> | ||
| + | |||
| + | |||
| + | http://cdn-images-1.medium.com/max/800/1*j2vfR4a9c-xQsp5MMcWzvw.png | ||
<youtube>f8ed_xAjkOg</youtube> | <youtube>f8ed_xAjkOg</youtube> | ||
Latest revision as of 22:01, 5 December 2023
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
- Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services:
- Datasets:
- Sequence to Sequence (Seq2Seq) Model:
- Natural Language Processing (NLP):
- Named Entity Recognition (NER)
- Word Embedding
- Embedding ... Fine-tuning ... RAG ... Search ... Clustering ... Recommendation ... Anomaly Detection ... Classification ... Dimensional Reduction. ...find outliers
- Recurrent Neural Network (RNN)
- Attention Mechanism ...Transformer ...Generative Pre-trained Transformer (GPT) ... GAN ... BERT
- Global Vectors for Word Representation (GloVe)
- Natural Language Processing (NLP):
SOTA = State of the Art
Mr. [B-PER] Johnson [I-PER] like Moscow! [B-LOC]
