alvations/tsundoku
PyTorch Tutorials for NLP with Deep Learning
This project provides a series of educational notebooks to help Python developers understand and apply deep learning techniques specifically for Natural Language Processing (NLP). It guides you through creating NLP tasks using tools like Word2Vec and building various language models, from traditional N-grams to modern Transformers. This is for developers looking to build AI models that can process, understand, or generate human language.
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Use this if you are a Python developer who wants to learn the fundamentals and advanced concepts of deep learning for NLP, using practical, hands-on examples.
Not ideal if you are a non-developer seeking a ready-to-use NLP application or someone unfamiliar with Python programming and machine learning basics.
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Jupyter Notebook
License
MIT
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Last pushed
Mar 21, 2020
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