seujung/gluonnlp_tutorial
GluonNLP tutorial for Pycon2019
This tutorial helps data scientists and machine learning engineers learn to apply deep learning techniques to natural language processing (NLP) tasks. It provides practical examples using the GluonNLP library, showing how to build models for tasks like classifying text intent and recognizing entities within text. You'll go from basic deep learning concepts to implementing advanced models like BERT.
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Use this if you are a data scientist or machine learning engineer looking for hands-on experience and code examples to understand and implement deep learning solutions for NLP problems using the GluonNLP framework.
Not ideal if you are looking for a high-level, no-code solution for NLP, or if you are not comfortable with programming and machine learning concepts.
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Aug 16, 2019
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