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awesome-DeepLearning
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awesome-DeepLearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

by PaddlePaddle · GitHub
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bertclassificationcnnApache-2.0Jupyter Notebook
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In plain words

Access a comprehensive online resource for learning deep learning concepts, courses, and practical applications.

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3 6423 639
2026-07-152026-08-31
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📄 About

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-DeepLearning has 3.6k stars on GitHub. It has been forked 860 times. awesome-DeepLearning is written mainly in Jupyter Notebook. It has been in active development since 2019. awesome-DeepLearning is available under the Apache-2.0 license. Its main topics are bert, classification, cnn, detection.

Frequently asked questions

What is awesome-DeepLearning?

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Is awesome-DeepLearning open source?

awesome-DeepLearning is an open-source project. It is released under the Apache-2.0 license.

Is awesome-DeepLearning free?

Yes. awesome-DeepLearning is free and open source — you can use, modify and self-host it.

What license does awesome-DeepLearning use?

awesome-DeepLearning is available under the Apache-2.0 license.

What language is awesome-DeepLearning written in?

awesome-DeepLearning is written mainly in Jupyter Notebook.

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