Advances and Applications in Deep Learning / / edited by Marco Antonio Aceves-Fernandez.
Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changi...
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| Place / Publishing House: | London, England : : IntechOpen,, 2020. |
| Year of Publication: | 2020 |
| Language: | English |
| Series: | Artificial Intelligence ;
Volume 4 |
| Physical Description: | 1 online resource (122 pages). |
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| Summary: | Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike. |
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| Access: | Open access |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | edited by Marco Antonio Aceves-Fernandez. |