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GitHub / gaizkiaadeline / Text-Classification-Model-using-LSTM-and-word2vec-vectorization

This repository contains a text classification model using LSTM, Word2Vec embeddings, and the Adam optimizer for efficient training and classification of textual data. The model classifies textual data based on pre-trained word vectors and is built with TensorFlow and Keras.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gaizkiaadeline%2FText-Classification-Model-using-LSTM-and-word2vec-vectorization

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 4.67 MB
Dependencies parsed at: Pending

Created at: 7 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: about 2 months ago

Topics: adam-optimizer, keras, lstm, tensorflow, word2vec

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