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Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II - 2019 ed.

By: (Edited by) Fabian Theis , (Edited by) Igor V. Tetko , (Edited by) Pavel Karpov , (Edited by) Vera Kurkova

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Ksh 15,300.00

Format: Paperback / Softback

ISBN-10: 3030304833

ISBN-13: 9783030304836

Edition: 2019 ed.

Series: Lecture Notes in Computer Science

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 5th, 2019

Print length: 807 Pages

Product Classification: Computer hardware
Network hardware
Algorithms & data structures
Computer security
Network security

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.
The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. 

The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

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