Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
Download or Read eBook Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation PDF written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 848 pages. Available in PDF, EPUB and Kindle.
| Author | : Igor V. Tetko |
| Publisher | : Springer Nature |
| Total Pages | : 848 |
| Release | : 2019-09-09 |
| ISBN-10 | : 9783030304874 |
| ISBN-13 | : 3030304876 |
| Rating | : 4/5 (74 Downloads) |
Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation by : Igor V. Tetko
Book excerpt: 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.
