Convolution Neural Networks: Intersection of Deep Learning and Image Processing in Computational Art-Reference-Cited by-同舟云学术

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Convolution Neural Networks: Intersection of Deep Learning and Image Processing in Computational Art

Published:2021-10-13 Issue: Volume: Page:
ISSN:
Container-title:10th International Conference on Digital and Interactive Arts
language:
Short-container-title:

Author:

Shabbar Aya¹

Affiliation:

1. Tishreen University, Syria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3483529.3483533

Reference15 articles.

1. Vilém Flusser . 2011. Into the universe of technical images . University of Vilém Flusser. 2011. Into the universe of technical images. University of

2. Minnesota Press Minneapolis. Minnesota Press Minneapolis.

3. Vilém Flusser . 2012. Towards a philosophy of photography . Reaktion Books , London . Vilém Flusser. 2012. Towards a philosophy of photography. Reaktion Books, London.

4. Martin Ford . 2018. Architects of intelligence: the truth about AI from the people building it . Packt Publishing , Birmingham Martin Ford. 2018. Architects of intelligence: the truth about AI from the people building it. Packt Publishing, Birmingham

5. Ian Goodfellow Yoshua Bengio and Aaron Courville. 2016. Deep learning. Ian Goodfellow Yoshua Bengio and Aaron Courville. 2016. Deep learning.

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1. Research on cross-media dissemination mechanism of generative AI artworks based on ISM model;Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering;2023-11-17

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