**Preface to "Various Deep Learning Algorithms in Computational Intelligence"**

We are very proud of the meticulous editing of this reprint, titled "Various Deep Learning Algorithms in Computational Intelligence," which compiles journal articles and showcases a diverse range of contributions from authors representing various fields across the globe. Our gratification stems from achieving our objective of gathering different perspectives, enabling us to comprehensively explore Deep Learning (DL) from multiple disciplines.

The above is highly important, since DL has garnered significant attention in science, industry, and academia due to its essential nature, which draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. The remarkable proficiency of deep learning in unveiling intricate structures within extensive datasets genuinely resembles the extraordinary aptitude of the brain to recognize patterns and form complex connections. This unique characteristic allows DL to excel in modeling and solving complex problems across various scientific and technological fields. Just as the brain learns from experience, DL architectures learn through algorithms from data by adjusting numerous parameters during training to optimize their performance and accuracy. This concept of learning and adaptation is fundamental to DL's success.

The publication of this reprint serves as an excellent opportunity to disseminate current knowledge beyond academic boundaries, reaching a diverse audience encompassing academics, professionals, and the general public. This wide readership fosters the potential for meaningful connections to established projects and the cultivation of collaboration for future research endeavors.

Finally, I express my gratitude to everyone involved in the publication of this reprint and the Special Issue. I extend my appreciation to the reviewers that helped to improve all the contributions, the editors, and the assistant staff for their valuable help in upholding the highest quality standards for the published scientific papers. I want to give special recognition to the Managing Editor for their exceptional efforts in overseeing this Special Issue and the reprint.

> **Oscar Humberto Montiel Ross** *Editor*
