Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

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. 

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning features in the following genres: Artificial intelligence, Computer vision, Computer hardware, Network hardware, Algorithms and data structures, Computer security, Network security

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Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning was written by Igor V Tetko and published by Springer Nature Switzerland AG

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning has 807 pages

Yes it is part of Theoretical Computer Science and General Issues series

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