Read a curated list of essential deep learning research papers that are highly regarded in the field.
From the README
- Understanding / Generalization / Transfer
- Optimization / Training Techniques
- Unsupervised / Generative Models
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeThe most cited deep learning papers
awesome-deep-learning-papers has 26.2k stars on GitHub. It has been forked 4.4k times. awesome-deep-learning-papers is written mainly in TeX. It has been in active development since 2016. Its main topics are deep-learning, deep-neural-networks, machine-learning.
What is awesome-deep-learning-papers?
The most cited deep learning papers
Is awesome-deep-learning-papers open source?
awesome-deep-learning-papers is an open-source project.
Is awesome-deep-learning-papers free?
Yes. awesome-deep-learning-papers is free and open source — you can use, modify and self-host it.
What language is awesome-deep-learning-papers written in?
awesome-deep-learning-papers is written mainly in TeX.
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