dongjun-Lee/transfer-learning-text-tf
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
This helps machine learning engineers improve the accuracy of text classification models, especially when they have limited labeled data. It takes your existing text datasets and an optional pre-trained model (like an auto-encoder or language model), then outputs a more accurate text classification model. This is for data scientists or machine learning practitioners building text analysis systems.
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Use this if you need to classify text and want to leverage semi-supervised learning techniques to get better performance with less labeled data.
Not ideal if you are looking for a plug-and-play solution without needing to engage in machine learning model development or training.
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Language
Python
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Last pushed
Oct 29, 2022
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