Results 11 to 20 of about 3,718,722 (330)
Adam Can Converge Without Any Modification on Update Rules [PDF]
Neural Information Processing Systems, 2022 Ever since Reddi et al. 2018 pointed out the divergence issue of Adam, many new variants have been designed to obtain convergence. However, vanilla Adam remains exceptionally popular and it works well in practice.
Yushun Zhang +4 more
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Maailma esimesed inimesed – Valgevene ja Eesti etioloogiad [PDF]
Mäetagused, 2021 Belarusian and Estonian mythological and legendary narratives, especially aetiologies, share a number of similar motifs and characters, despite the fact that Estonian and Belarusian belong to different language families and share no common borders ...
Alena Boganeva, Mare Kõiva
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Perbandingan AlexNet dan VGG untuk Pengenalan Ekspresi Wajah pada Dataset Kelas Komputasi Lanjut
Techno.Com, 2022 Pengenalan emosi memainkan peran penting dalam komunikasi yang dapat dikenali dari ekspresi wajah. Terdapat banyak metode yang dapat digunakan untuk mengenali ekspresi wajah secara automatis, seperti convolutional neural network (CNN).
Sri Nurdiati +5 more
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Efficient Behavior Prediction Based on User Events
Journal of Communications Software and Systems, 2021 In 2020 we have witnessed the dawn of machine learning enabled user experience. Now we can predict how users will use an application. Research progressed beyond recommendations, and we are ready to predict user events.
Peter Szabo, Bela Genge
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ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images [PDF]
IEEE Transactions on Medical Imaging, 2022 Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss caused by this disease is irreversible and permanent.
Huihui Fang +27 more
semanticscholar +1 more source
Enhancing Performance of a Deep Neural Network: A Comparative Analysis of Optimization Algorithms
Advances in Distributed Computing and Artificial Intelligence Journal, 2020 Adopting the most suitable optimization algorithm (optimizer) for a Neural Network Model is among the most important ventures in Deep Learning and all classes of Neural Networks. It’s a case of trial and error experimentation.
Noor Fatima
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Classification of pest detection in paddy crop based on transfer learning approach
Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, 2021 Pest recognition in the agriculture field plays a critical issue for the farmers which diminishes economic growth. So far, traditional practices were followed by farmers to increase yield production. Nowadays, researchers execute a deep learning approach
V. Malathi, M. P. Gopinath
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Role of ADAM and ADAMTS proteases in pathological tissue remodeling
Cell Death Discovery, 2023 Pathological tissue remodeling is closely associated with the occurrence and aggravation of various diseases. A Disintegrin And Metalloproteinases (ADAM), as well as A Disintegrin And Metalloproteinase with ThromboSpondin motifs (ADAMTS), belong to zinc ...
Zhaoni Wang +3 more
semanticscholar +1 more source
Provable Adaptivity of Adam under Non-uniform Smoothness [PDF]
Knowledge Discovery and Data Mining, 2022 Adam is widely adopted in practical applications due to its fast convergence. However, its theoretical analysis is still far from satisfactory. Existing convergence analyses for Adam rely on the bounded smoothness assumption, referred to as the L-smooth ...
Bohan Wang +8 more
semanticscholar +1 more source
A Sufficient Condition for Convergences of Adam and RMSProp [PDF]
Computer Vision and Pattern Recognition, 2018 Adam and RMSProp are two of the most influential adaptive stochastic algorithms for training deep neural networks, which have been pointed out to be divergent even in the convex setting via a few simple counterexamples.
Fangyu Zou +4 more
semanticscholar +1 more source