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Ergebnis der Suche nach: tit all "Neural Networks and Deep Learning"
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Online Ressourcen 21 Deep neural networks and machine learning radiomics modelling for prediction of relapse in mantle cell lymphoma
Lisson, Catharina Silvia. - Ulm : Universität Ulm, 2022
Online Ressource
Online Ressourcen 22 Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research
Bodesheim, Paul. - Jena : Friedrich-Schiller-Universität Jena, 2022
Online Ressource
Bücher 23 Reduction of platelet outdating and shortage by forecasting demand with statistical learning and deep neural networks
Schilling, Maximilian. - Aachen, [2022?]
Vorhanden in Leipzig Vorhanden in Frankfurt
Online Ressourcen 24 Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study
Schilling, Maximilian. - Aachen : Universitätsbibliothek der RWTH Aachen, 2022
Online Ressource
Artikel 25 Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Enthalten in Neural processing letters 31.10.2022: 1-104
Online Ressource
Artikel 26 Gradient-only surrogate to resolve learning rates for robust and consistent training of deep neural networks
Enthalten in Applied intelligence 15.10.2022: 1-22
Online Ressource
Artikel 27 Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks
Enthalten in Neural processing letters 14.8.2022: 1-18
Online Ressource
Artikel 28 A framework to enhance generalization of deep metric learning methods using general discriminative feature learning and class adversarial neural networks
Enthalten in Applied intelligence 2.8.2022: 1-19
Online Ressource
Artikel 29 Prediction carbonization yields and the sensitivity analyses using deep learning neural networks and support vector machines
Enthalten in International journal of environmental science and technology 30.7.2022: 1-10
Online Ressource
Artikel 30 Retraction Note to: Brain tumour classification using saliency driven nonlinear diffusion and deep learning with convolutional neural networks (CNN)
Enthalten in Journal of ambient intelligence and humanized computing 20.6.2022: 1
Online Ressource


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