kryvokhyzha/how-to-understand-bert

In this repository, I have collected different sources, visualizations, and code examples of BERT

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This is a curated collection of resources designed to help you understand BERT, a powerful AI model for language processing. It brings together blog posts, videos, and code examples that explain BERT's underlying concepts like Attention and Transformers, as well as practical aspects like tokenization and fine-tuning. This resource is for anyone who wants to learn how BERT works and how it can be applied to various text analysis tasks.

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Use this if you are a data scientist, machine learning engineer, or NLP practitioner looking to deeply understand BERT from theory to application.

Not ideal if you are looking for a pre-built tool to directly apply BERT without understanding its internal workings, or if you need a general overview of many NLP models.

natural-language-processing machine-learning-engineering text-analysis deep-learning language-model-training
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Maturity 16 / 25
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Jupyter Notebook

License

MIT

Last pushed

Jan 15, 2021

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