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Survey on evolutionary deep learning: Principles, algorithms, applications, and open issues
Over recent years, there has been a rapid development of deep learning (DL) in both
industry and academia fields. However, finding the optimal hyperparameters of a DL model …
industry and academia fields. However, finding the optimal hyperparameters of a DL model …
An analysis of explainability methods for convolutional neural networks
Deep learning models have gained a reputation of high accuracy in many domains.
Convolutional Neural Networks (CNN) are specialized towards image recognition and have …
Convolutional Neural Networks (CNN) are specialized towards image recognition and have …
Evolutionary computation for feature selection and feature construction
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion:
Evolutionary computation for feature selectio Page 1 Evolutionary Computation for Feature …
Evolutionary computation for feature selectio Page 1 Evolutionary Computation for Feature …
Evolving Deep Neural Networks with Explanations for Image Classification
B Wang - 2023 - openaccess.wgtn.ac.nz
Image classification problems often face the issues of high dimensionality and large
variance within the same class. Deep convolutional neural networks are designed to solve …
variance within the same class. Deep convolutional neural networks are designed to solve …
Deploying Deep Learning for Facemask Detection in Mobile Healthcare Units: master's thesis
WMH Hayawi - 2024 - elar.urfu.ru
Identifying facemasks is an important duty that affects public health and safety, especially
during epidemics of communicable diseases. Many architectures of deep learning models …
during epidemics of communicable diseases. Many architectures of deep learning models …