Deep Learning and Visual Artificial Intelligence [electronic resource] : Proceedings of ICDLAI 2024 / edited by Vishal Goar, Aditi Sharma, Jungpil Shin, M. Firoz Mridha.
Material type:
TextSeries: Algorithms for Intelligent SystemsPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XV, 549 p. 216 illus., 192 illus. in color. online resourceContent type: - text
- computer
- online resource
- 9789819745333
- Q334-342
- TA347.A78
Online resources:
In:
Springer Nature eBookSummary: This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bikaner, India, during March 16–17, 2024. The book presents diverse range of topics, including advanced deep learning techniques, neural networks, image processing, object detection, and pattern recognition.
No physical items for this record
This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bikaner, India, during March 16–17, 2024. The book presents diverse range of topics, including advanced deep learning techniques, neural networks, image processing, object detection, and pattern recognition.
There are no comments on this title.
Log in to your account to post a comment.