named-entity recognition using lstms with keras coursera github

github.com › Tekraj15 › Named-Entity-Recognition-Using-LSTM-Keras

GitHub - Tekraj15/Named-Entity-Recognition-Using-LSTM-Keras: bidirectional LSTM neural network model to recognize named entities in text data i.e. identify mentions of people, locations, organizations, etc.

Using the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. Named entity recognition models can be used to identify mentions of people, locations, ...

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github.com › yrnigam › Named-Entity-Recognition-NER-using-LSTMs

GitHub - yrnigam/Named-Entity-Recognition-NER-using-LSTMs: Named Entity Recognition (NER) using LSTMs with Keras

Named Entity Recognition (NER) using LSTMs with Keras - yrnigam/Named-Entity-Recognition-NER-using-LSTMs

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Class Central

classcentral.com › subjects › computer science › deep learning › keras

Online Course: Named Entity Recognition using LSTMs with Keras from Coursera Project Network | Class Central

Named Entity Recognition using LSTMs with Keras

Learn to build and train a bidirectional LSTM neural network model using Keras API with TensorFlow in this 1-hour project-based course by Coursera. Ideal for North American learners.

Price -$1.00

GitHub

github.com › BeiqiZh › Named-Entity-Recognition

GitHub - BeiqiZh/Named-Entity-Recognition: Named Entity Recognition (NER) using LSTMs with Keras

This question has been around for a long time before the named entity recognition (NER) model came out. This method can help people to extract key information from many different industries. This article will introduce and explain the methods used to solve the NER problem and shows the coding to build and train a bi-directional LSTM with Keras.

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GitHub

github.com › susanli2016 › NLP-with-Python › blob › master › Named Entity Recognition using LSTMs with Keras.ipynb

NLP-with-Python/Named Entity Recognition using LSTMs with Keras.ipynb ...

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more - NLP-with-Python/Named Entity Recognition using LSTMs with Keras.ipynb at master · susanli2016/NLP-with-Python

Author susanli2016

GitHub

github.com › sunn-e › NER-LSTM-Keras

GitHub - sunn-e/NER-LSTM-Keras: Named Entity Recognition using LSTMs with Keras

Named Entity Recognition using LSTMs with Keras. Contribute to sunn-e/NER-LSTM-Keras development by creating an account on GitHub.

Author sunn-e

GitHub

github.com › Rahul1582 › Named-Entity-Recognition

GitHub - Rahul1582/Named-Entity-Recognition: A keras implementation of Bidirectional-LSTM for Named Entity Recognition.

A keras implementation of Bidirectional-LSTM for Named Entity Recognition. - Rahul1582/Named-Entity-Recognition

Author Rahul1582

GitHub

github.com › yagotome › lstm-ner

GitHub - yagotome/lstm-ner: A solution for Named Entity Recognition (NER) in Keras using LSTM Networks, Word Embeddings and Char Embeddings

An implementation of Named Entity Recognition using LSTM Networks in Keras

Author yagotome

GitHub

github.com › kamalkraj › Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

GitHub - kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs: Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

A keras implementation of Bidirectional-LSTM_CNNs for Named-Entity-Recoganition. The original paper can be found at https://arxiv.org/abs/1511.08308 · The implementation differs from the original paper in the following ways :

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GitHub

github.com › mayankshah1607 › Named-Entity-recognition-LSTM

GitHub - mayankshah1607/Named-Entity-recognition-LSTM: :man: An implementation of NER using LSTM Network built using Keras. :)

An implementation of Named Entity Recognition using Bi-Directional LSTMs built using Keras.

Author mayankshah1607

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GitHub

github.com › nxs5899 › Named-Entity-Recognition_DeepLearning-keras

GitHub - nxs5899/Named-Entity-Recognition_DeepLearning-keras: complete Jupyter notebook for implementation of state-of-the-art Named Entity Recognition with bidirectional LSTMs and ELMo

complete Jupyter notebook for implementation of state-of-the-art Named Entity Recognition with bidirectional LSTMs and ELMo - nxs5899/Named-Entity-Recognition_DeepLearning-keras

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github.com › y33-j3T › Coursera-Deep-Learning › blob › master › Natural Language Processing with Sequence Models › Week 3 - LSTMs and Named Entity Recognition › C3_W3_Assignment.ipynb

LSTMs and Named Entity Recognition ...

"Everything else that is labeled with an `O` is not considered to be a named entity. In this assignment, you will train a named entity recognition system that could be trained in a few seconds (on a GPU) and will get around 75% accuracy.

Author y33-j3T

GitHub

github.com › thomasjungblut › ner-sequencelearning

GitHub - thomasjungblut/ner-sequencelearning: Keras Conv+BiLSTM for Named Entity Recognition

This is a repo about deep sequence learning in the named entity recognition domain using Keras and Glove.

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Towards Data Science

towardsdatascience.com › home › latest › named-entity recognition (ner) using keras bidirectional lstm

Named-Entity Recognition (NER) using Keras Bidirectional LSTM | Towards Data Science

March 5, 2025 - Please experiment with the model with different batch sizes, dropout value, optimizers, metrics, and layers to a better result. Find the complete code for this project in the Github Repository.

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careervira.com › home › artificial intelligence & data science › artificial intelligence › deep learning › named entity recognition using lstms with keras

Named Entity Recognition using LSTMs with Keras

Named Entity Recognition using LSTMs with Keras

This 1-hour-long project-based course will teach you how to use Keras API with TensorFlow to build and train a bidirectional neural network model for LSTM recognition of named entities in text data. Named entity recognition models can be used for identifying mentions of people, places, organizations, etc. Named entity recognition can be used as a standalone tool to extract information, but it is also a valuable preprocessing step for many downstream natural-language processing applications such as machine translation, question answering, text summarization, and question answering. Coursera's R

Price $319.00

Coursera

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Named Entity Recognition using LSTMs with Keras

In this 1-hour long project-based course, you will use the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data.

Rating: 4.3 - 40 votes

GitHub

github.com › Tekraj15 › Named-Entity-Recognition-Using-LSTM-Keras › blob › master › NER.ipynb

Named-Entity-Recognition-Using-LSTM-Keras/NER.ipynb at master · Tekraj15/Named-Entity-Recognition-Using-LSTM-Keras

bidirectional LSTM neural network model to recognize named entities in text data i.e. identify mentions of people, locations, organizations, etc. - Tekraj15/Named-Entity-Recognition-Using-LSTM-Keras

Author Tekraj15

GitHub

github.com › Tekraj15 › Named-Entity-Recognition-Using-LSTM-Keras › blob › master › README.md

Named-Entity-Recognition-Using-LSTM-Keras/README.md at master · Tekraj15/Named-Entity-Recognition-Using-LSTM-Keras

Author Tekraj15

GitHub

github.com › Engineer1999 › Named-Entity-Recognition-using-LSTM

GitHub - Engineer1999/Named-Entity-Recognition-using-LSTM: Quarantine Project

In this project, I have use the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. Named entity recognition models can be used to identify mentions ...

Author Engineer1999

GitHub

github.com › Anand-afk › Named-Entity-Recognition-using-LSTM-Keras

GitHub - Anand-afk/Named-Entity-Recognition-using-LSTM-Keras: Named Entity Recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, etc

Named Entity Recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, etc - Anand-afk/Name...

Author Anand-afk