Results 311 to 320 of about 10,369,018 (353)
Deep learning methods for automated bone segmentation and biomechanical modelling in zebrafish
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A guide to deep learning in healthcare
Nature Medicine, 2019Andre Esteva +2 more
exaly +2 more sources
American Journal of Orthodontics and Dentofacial Orthopedics
Flemish Government under the "Onder-zoeksprogramma ...
Axel-Jan Rousseau +3 more
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Flemish Government under the "Onder-zoeksprogramma ...
Axel-Jan Rousseau +3 more
+11 more sources
Nature, 2015
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics.
Yann Lecun +2 more
exaly +3 more sources
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics.
Yann Lecun +2 more
exaly +3 more sources
Deep learning and process understanding for data-driven Earth system science
Nature, 2019Markus Reichstein +2 more
exaly +2 more sources
Science, 2022
Seismic waves from earthquakes and other sources are used to infer the structure and properties of Earth’s interior. The availability of large-scale seismic datasets and the suitability of deep-learning techniques for seismic data processing have pushed deep learning to the forefront of fundamental, long-standing research investigations in seismology ...
S. Mostafa Mousavi, Gregory C. Beroza
openaire +2 more sources
Seismic waves from earthquakes and other sources are used to infer the structure and properties of Earth’s interior. The availability of large-scale seismic datasets and the suitability of deep-learning techniques for seismic data processing have pushed deep learning to the forefront of fundamental, long-standing research investigations in seismology ...
S. Mostafa Mousavi, Gregory C. Beroza
openaire +2 more sources
2019
The chapter is devoted at illustrating the basic principles and the current results which characterize the research on Deep Learning. The term refers to the theory and practice of devising and training complex neural networks for supervised and unsupervised tasks.
Massimo Guarascio +2 more
openaire +3 more sources
The chapter is devoted at illustrating the basic principles and the current results which characterize the research on Deep Learning. The term refers to the theory and practice of devising and training complex neural networks for supervised and unsupervised tasks.
Massimo Guarascio +2 more
openaire +3 more sources