oxford-cs-deepnlp-2017/practical-3
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
This project helps students and researchers understand and implement deep learning techniques for natural language processing. It provides code and guidance for two core tasks: classifying text documents into categories and building models that can predict the next word in a sequence. Users input text datasets, and the project outputs trained models for either classification or language generation, along with insights into their performance and architecture.
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Use this if you are a student or researcher in natural language processing looking to practically apply recurrent neural networks (RNNs) for text classification or language modeling.
Not ideal if you are looking for a ready-to-use, production-grade text classification or language generation tool without needing to understand or modify the underlying deep learning architecture.
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Feb 06, 2017
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