IRJS – Deep Learning is a specialized publication dedicated to advancing research in deep neural networks and their applications. Our journal focuses on both theoretical developments and practical implementations of deep learning across various domains.

We publish innovative research on convolutional neural networks, recurrent neural networks, transformer architectures, generative models, and the mathematical foundations of deep learning. The journal emphasizes reproducible research and practical applications.