LSTM
====

Implementation of a Long-short term memory recurrent neural network based on the work of `Hochreiter & Schmidhuber (1997) <https://watermark.silverchair.com/neco.1997.9.8.1735.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAA0AwggM8BgkqhkiG9w0BBwagggMtMIIDKQIBADCCAyIGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMMcPlciMo8Ap76GS6AgEQgIIC822jXavWOEfjEAahZiVVB_C7GrnKqRbyLza2Au0xsIcIERfXox8xIrdPeUjKoM9FQXhEa5uBcC8EDBbZqX8P6ETsqyhYbnG24c_5Q138L2RSHmrR7j_cqINT50V6Bxxxd1YprpFu67JtwpeZV6-XOLAQ2zf4-PGGsz-KdxYmG5pWHx07jB0RjQNjBfQtbeLc4GveNIAvkWK-koViQ0kpYUkwE1OlHCKjDmVoyDLBeWCSNPAddsiif-SFpf61KqYH6EiagW9aCj7ro7qa02HKcTYPGjlybIHonTPIhnZMxmEroc4quhgaCUuF47DkCIZtWl3So9vPCziEtsl9-0tOfCDare3RHFKHQYl05PGiimlqnJlrd_sQXrT99xTKkxDwyoy5dsEVJOuf4JlaBxCz9qPGmqYln-YFa4yOD8v2C0YB4-EjnsR39xvlD8ZyhlkLTDWohltnsevwFkhMHQBYMgK68tG8weaV7Eaeep9KgMti18aflGVnM7uKExz1MIUjJWdj4b2GoalQWnexoC8C4rb8YCSQcGtpFJ6sfBVsntlUzlXKCyGlBS_HkuvOpGOFyB-6i4HLOlM4XLoNPTi8-Uk-sCD1_1h-NYs49A-r4RRmP2sAnAIk39-xfTUHfVpgmV8GeK_mgqBqM7pVDog3av5iLYwgiw0CSnpjGJ58uvrnxlFAI1O3dYX29ZsINTxVCEnQQPEx8Ws3DsZ1k4sIQtW0o6LpRymTrhCqpo7N7kToc_aUvzIjlbNqQD1n6X1r00NNiSF6J-mKKzO_IBuXIV3ccrqBsuGWOj3g8il934-nltBRclrJY8LpjnP0CIuhYysnXMhmqhcetQQ6feDTf0BjtUqAhMVXuUMwt1i4QSeRqpfLH-wWhDX3CQGDcEjHejeScelV7yar1HJvbdFdClI2j35jdisdjU9nOp6YsE3E2HYRErCZ5_AFsEMB_DOoTfazKX4MPZSelV2LfyE3CmvR95XAJf11aCl5z4XlX4kRdaYX>`_.

For a more in-depth explanation of LSTMs, consult for instance the `excellent blog post by Christopher Olah <https://colah.github.io/posts/2015-08-Understanding-LSTMs/>`_.

LSTM Module Documentation
=========================

.. automodule:: nlp_uncertainty_zoo.models.lstm
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