Journal of Deep Learning

About the Journal

Journal of Deep Learning (JDL) is an open-access, peer-reviewed scientific journal dedicated to the publication of cutting-edge research and innovative developments in the field of deep learning and its broad range of applications across disciplines. The journal serves as a platform for researchers, academics, and practitioners to share knowledge, experience, and recent findings that drive advancements in both the theory and practice of deep learning.

JDL regularly publishes high-quality articles covering the development of algorithms, model architectures, training techniques, and real-world implementations of deep learning across various sectors including healthcare, industry, cybersecurity, robotics, natural language processing (NLP), computer vision, and many others.

Journal Identity