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.
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Forks: 0
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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