omarsar/nlp_pytorch_tensorflow_notebooks
Deep Learning for NLP Python Notebooks in PyTorch and TensorFlow
This collection of Python notebooks helps you understand and implement deep learning solutions for natural language processing tasks. It takes text data as input and produces outputs like identified emotions or translated text, enabling you to build systems that interpret and generate human language. Anyone interested in applying deep learning to text-based problems, from researchers to data scientists, would find this useful.
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Use this if you want to learn how to apply deep learning to NLP tasks like emotion recognition or machine translation using popular frameworks.
Not ideal if you're looking for a pre-built, production-ready application rather than educational implementations.
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Oct 17, 2018
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