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Journal of Deep Learning (JDL) adopts a fully open access policy, meaning that all published articles are freely available for anyone to read, download, distribute, and reuse without subscription fees or access restrictions.
JDL believes that openly disseminating scientific knowledge accelerates academic progress, promotes global collaboration, and increases the impact of published research. Therefore:
All articles are made available free of charge on the journal’s website immediately upon publication.
There is no embargo period before an article becomes accessible.
Copyright remains with the authors.
Articles published in JDL are licensed under the Creative Commons Attribution (CC BY) license.
Readers, researchers, educators, and the general public are allowed to access all JDL content freely without registration.
Authors are allowed to deposit and share the final published version of their articles in institutional repositories, personal websites, and other platforms without restrictions.
All published articles will be archived and distributed through various indexing and repository systems to ensure long-term accessibility.
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