Konu "deep learning" için Araştırma Çıktıları (TR Dizin / Web of Science / Scopus / PubMed) listeleme
Toplam kayıt 4, listelenen: 1-4
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Evaluation of the robustness of deep features on the change detection problem
(Ieee, 2018)Deep Learning is a method which is employed for change detection as well as other image processing problems. Output extracted from various layers of the deep architecture can be employed to detect changes at different ... -
Experimental assessment of the performance of data augmentation with generative adversarial networks in the image classification problem
(Institute of Electrical and Electronics Engineers Inc., 2019)Deep Learning algorithms have almost become a key standard for majority of vision and machine learning problems. Despite its common usage and high performance for many applications, they have certain disadvantages. One ... -
Imitating by generating: Deep generative models for imitation of interactive tasks
(Frontiers Media Sa, 2020)To coordinate actions with an interaction partner requires a constant exchange of sensorimotor signals. Humans acquire these skills in infancy and early childhood mostly by imitation learning and active engagement with a ... -
A novel deep convolutional neural network model for COVID-19 disease detection
(Institute of Electrical and Electronics Engineers Inc., 2020)The novel coronavirus, generally known as COVID19, is a new type of coronavirus which first appeared in Wuhan Province of China in December 2019. The biggest impact of this new coronavirus is its very high contagious feature ...