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1. |
Record Nr. |
UNINA990007413630403321 |
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Autore |
Scaglione, Antonio |
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Titolo |
Profili dell' istruzione sommaria nel processo penale comune ed in quello militare / Antonio Scaglione |
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Pubbl/distr/stampa |
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Palermo : La Cartografica, 1974 |
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Descrizione fisica |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910413441003321 |
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Titolo |
The Development of Deep Learning Technologies : Research on the Development of Electronic Information Engineering Technology in China |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIV, 58 p. 15 illus., 13 illus. in color.) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer science |
Computer industry |
Artificial Intelligence |
Popular Computer Science |
The Computer Industry |
Asian Economics |
Asia Economic conditions |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Chapter 1: Deep Learning: History and State-of-the-arts -- Chapter 2: Deep Learning Development Status in China -- Chapter 3: Future and Discussions. |
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Sommario/riassunto |
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This book is a part of the Blue Book series “Research on the Development of Electronic Information Engineering Technology in China,” which explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning methods in its ability to learn multiple levels of representation and abstraction by using several layers of nonlinear modules for feature extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the full materialization of AI. Focusing on the development of deep learning technologies, this book also discusses global trends, the status of deep learning development in China and the future of deep learning. |
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