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The Decade of Deep Learning
As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput
Christopher watkin
Lee sedol
Group normalization
Neural networks
Convolutional neural networks
Generative adversarial networks
Value network architectures source
Rectifier nonlinearities improve neural network acoustic models
Convolutional networks for large
Accurate deep network
Highway networks
Convolutional neural network
Network training
Sparse rectifier neural networks
Deep learning
Computer vision
Protecting GNSS for Safe Aviation
Detecting interference using machine learning algorithms to monitor ADS-B data. Zixi Liu, Sherman Lo, Todd Walter, Stanford University GNSS serves se
United states
Arkhangel skaya oblast
Czech republic
Denver international airport
Todd walter
Zixi liu
Purdue university
International conference on military technologies
Convolutional networks for large
International technical meeting of the satellite division
Rtca inc
Laboratory at stanford university
Opensky network
Us department of transportation
Institute of navigation
Stanford university
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