NLP-kr/tensorflow-ml-nlp-tf2
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
This project provides practical natural language processing (NLP) examples, ranging from basic logistic regression to advanced models like BERT and GPT3. It helps those learning or applying NLP by offering ready-to-use code for tasks like text classification and building chatbots. The materials are designed for students, researchers, or practitioners looking to implement NLP solutions.
273 stars. No commits in the last 6 months.
Use this if you are studying natural language processing and want hands-on examples using TensorFlow 2, covering foundational concepts up to advanced models like GPT3.
Not ideal if you are looking for a plug-and-play solution for a specific business problem without needing to understand the underlying NLP model implementations.
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273
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Nov 08, 2022
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