sourcecode369/deep-natural-language-processing
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
This collection of notebooks helps you build systems that understand and process human language using advanced AI techniques. You provide text or speech data, and it helps you create applications that can perform tasks like answering questions, recognizing spoken commands, or translating languages. It's designed for data scientists and AI practitioners who want to develop sophisticated language-based AI.
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Use this if you are an AI practitioner looking for practical, implemented examples of deep learning models for various natural language processing tasks.
Not ideal if you are looking for a ready-to-use application or a high-level API to integrate NLP features without understanding the underlying models.
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Jupyter Notebook
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GPL-3.0
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Last pushed
Apr 24, 2020
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