„Transfer Learning“
Suchergebnisse
3.348 Treffer
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A robot-aided visuomotor wrist training induces motor and proprioceptive learning that transfers to the untrained ipsilateral elbow
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Digitale Bildverarbeitung und Tiefe Neuronale Netze in der Augenheilkunde – aktuelle Trends
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Classical but Not Rap Music Significantly Improves Transferability and Long-Term Acquisition of Laparoscopic Suturing Skills: A Randomized Controlled Trial
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Understanding movie poster: transfer-deep learning approach for graphic-rich text recognition
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Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
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Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
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Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies
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Deep transfer learning in human–robot interaction for cognitive and physical rehabilitation purposes
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Deep industrial transfer learning at runtime for image recognition
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Transfer Learning in der Zerspanung – Grundlage für Prozessverbesserungen und innovative Geschäftsmodelle
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Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure
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Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry
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Improvement by imagining actions: Bimanual transfer effects after action imagery practice in a sequential reaction time task
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Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry
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Cross lingual transfer learning does not improve aphasic speech recognition
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Automatic brain tumor detection using CNN transfer learning approach
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A Deep Learning Perspective on Dropwise Condensation
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Responses to the letter on “Transfer learning for neural network model in Chlorophyll-a dynamics prediction”
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Transfer learning for neural network model in chlorophyll-a dynamics prediction by Wenchong Tian, Zhenliang Liao, and Xuan Wang
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Criteria for dynamical clustering in permanently excited granular gases: comparison and estimation with machine learning approaches