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GitHub / AdirthaBorgohain / LSTM-Classifier-with-Hyperparameter-Tuning

A simple bidirectional LSTM Classifier to classify sentiments on a text. Hyperparameter tuning is done using Randomized CV Search to find best parameters for the deep learning model.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdirthaBorgohain%2FLSTM-Classifier-with-Hyperparameter-Tuning

Stars: 4
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 9.98 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: about 1 month ago
Pushed at: over 3 years ago
Last synced at: about 1 month ago

Topics: keras, lstm-neural-networks, parameter-tuning, rnn, sentiment-analysis

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