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Artificial Neural Networks And Machine Learning Icann 2021 30th International Conference On Artificial Neural Networks Bratislava Slovakia Ii Lecture Notes In Computer Science 12892 1st Ed 2021 Igor Farka Editor

  • SKU: BELL-34710590
Artificial Neural Networks And Machine Learning Icann 2021 30th International Conference On Artificial Neural Networks Bratislava Slovakia Ii Lecture Notes In Computer Science 12892 1st Ed 2021 Igor Farka Editor
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Artificial Neural Networks And Machine Learning Icann 2021 30th International Conference On Artificial Neural Networks Bratislava Slovakia Ii Lecture Notes In Computer Science 12892 1st Ed 2021 Igor Farka Editor instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 66.3 MB
Pages: 674
Author: Igor Farkaš (editor), Paolo Masulli (editor), Sebastian Otte (editor), Stefan Wermter (editor)
ISBN: 9783030863395, 3030863395
Language: English
Year: 2021
Edition: 1st ed. 2021

Product desciption

Artificial Neural Networks And Machine Learning Icann 2021 30th International Conference On Artificial Neural Networks Bratislava Slovakia Ii Lecture Notes In Computer Science 12892 1st Ed 2021 Igor Farka Editor by Igor Farkaš (editor), Paolo Masulli (editor), Sebastian Otte (editor), Stefan Wermter (editor) 9783030863395, 3030863395 instant download after payment.

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes.


In this volume, the papers focus on topics such as computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks.

*The conference was held online 2021 due to the COVID-19 pandemic.

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