Computational methods for deep learning : theoretic, practice and applications
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence.
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| Main Author | |
|---|---|
| Format | eBook Book |
| Language | English |
| Published |
Cham
Springer
2021
Springer International Publishing AG Springer International Publishing |
| Edition | 1 |
| Series | Texts in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783030610807 3030610802 |
| ISSN | 1868-0941 1868-095X |
| DOI | 10.1007/978-3-030-61081-4 |
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| Summary: | Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. |
|---|---|
| Bibliography: | Includes bibliographical refrences |
| ISBN: | 9783030610807 3030610802 |
| ISSN: | 1868-0941 1868-095X |
| DOI: | 10.1007/978-3-030-61081-4 |