snrazavi/Deep-Learning-for-NLP
Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.
This collection of tutorials and notebooks helps you understand and apply deep learning models to various natural language processing tasks. It takes raw text data and guides you through methods to classify it, summarize it, or translate it. This resource is for anyone who wants to build practical NLP applications, such as a data scientist or machine learning engineer working with text.
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Use this if you are a data scientist or machine learning engineer looking for practical, guided examples to implement deep learning models for NLP tasks like text classification, summarization, or translation.
Not ideal if you are looking for a plug-and-play tool for immediate NLP solutions without needing to understand or implement the underlying deep learning models.
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Sep 17, 2021
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