Download the fantastic book titled Artificial Neural Networks and Machine Learning ICANN 2019 Deep Learning written by Igor V. Tetko, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Artificial Neural Networks and Machine Learning ICANN 2019 Deep Learning", which was released on 09 September 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Artificial Neural Networks and Machine Learning ICANN 2019 Deep Learning by Igor V. Tetko PDF
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.
Detail About Artificial Neural Networks and Machine Learning ICANN 2019 Deep Learning PDF
- Author : Igor V. Tetko
- Publisher : Springer Nature
- Genre : Computers
- Total Pages : 807 pages
- ISBN : 3030304841
- Release Date : 09 September 2019
- PDF File Size : 9,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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