Use of Generative Adversarial Networks (GAN) for Taphonomic Image Augmentation and Model Protocol for the Deep Learning Analysis of Bone Surface Modifications

Use of Generative Adversarial Networks (GAN) for Taphonomic Image Augmentation and Model Protocol for the Deep Learning Analysis of Bone Surface Modifications

Deep learning models are based on a combination of neural network architectures, optimization parameters and activation functions. All of them provide exponential combinations whose computational fitness is difficult to pinpoint. The intricate resemblance of the microscopic features that are found i...

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Bibliographic Details
Main Authors:	Manuel Domínguez-Rodrigo, Ander Fernández-Jaúregui, Gabriel Cifuentes-Alcobendas, Enrique Baquedano
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Applied Sciences
Subjects:	generative adversarial networks optimizer activation function neural networks computer vision taphonomy
Online Access:	https://www.mdpi.com/2076-3417/11/11/5237

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