405 citations · 699 across the 5 of their papers we have counts for
6 papers
Multi-task convolutional neural network for image aesthetic assessment
Derya Soydaner, Johan Wagemans
As people's aesthetic preferences for images are far from understood, image aesthetic assessment is a challenging artificial intelligence task. The range of factors underlying this…
From paintbrush to pixel: A review of deep neural networks in AI-generated art
Anne-Sofie Maerten, Derya Soydaner
This paper delves into the fascinating field of AI-generated art and explores the various deep neural network architectures and models that have been utilized to create it. From th…
Application of multilayer perceptron with data augmentation in nuclear physics
Hüseyin Bahtiyar, Derya Soydaner, Esra Yüksel
Neural networks have become popular in many fields of science since they serve as promising, reliable and powerful tools. In this work, we study the effect of data augmentation on…
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
A long time ago in the machine learning literature, the idea of incorporating a mechanism inspired by the human visual system into neural networks was introduced. This idea is name…
Nuclear binding energy predictions using neural networks: Application of the multilayer perceptron
Esra Yüksel, Derya Soydaner, Hüseyin Bahtiyar
In recent years, artificial neural networks and their applications for large data sets have became a crucial part of scientific research. In this work, we implement the Multilayer…
A Comparison of Optimization Algorithms for Deep Learning
Derya Soydaner
In recent years, we have witnessed the rise of deep learning. Deep neural networks have proved their success in many areas. However, the optimization of these networks has become m…