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One signal processing view on deep learning - lecture 2
Multi angle
Authors : Oyallon, Edouard (Author of the conference)
CIRM (Publisher )
94A12 - Signal theory (characterization, reconstruction, filtering, etc.)
68T07 - Artificial neural networks and deep learning
CIRM (Publisher )
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Abstract :
Since 2012, deep neural networks have led to outstanding results in many various applications, literally exceeding any previously existing methods, in texts, images, sounds, videos, graphs... They consist of a cascade of parametrized linear and non-linear operators whose parameters are optimized to achieve a fixed task. This talk addresses 4 aspects of deep learning through the lens of signal processing. First, we explain image classification in the context of supervised learning. Then, we show several empirical results that allow us to get some insights about the black box of neural networks. Third, we explain how neural networks create invariant representation: in the specific case of translation, it is possible to design predefined neural networks which are stable to translation, namely the Scattering Transform. Finally, we discuss several recent statistical learning, about the generalization and approximation properties of this deep machinery.
Keywords : apprentissage profond; traitement du signal; transformée en scattering
MSC Codes : Keywords : apprentissage profond; traitement du signal; transformée en scattering
94A12 - Signal theory (characterization, reconstruction, filtering, etc.)
68T07 - Artificial neural networks and deep learning
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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 22/02/2021 Conference Date : 28/01/2021 Subseries : Research School arXiv category : Machine Learning ; Computer Vision and Pattern Recognition Mathematical Area(s) : Computer Science Format : MP4 (.mp4) - HD Video Time : 01:24:01 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2021-01-28_Oyallon_2.mp4 
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Information on the Event
Event Title : Mathematics, Signal Processing and Learning / Mathématiques, traitement du signal et apprentissageEvent Organizers : Anthoine, Sandrine ; Chaux, Caroline ; Mélot, Clothilde ; Richard, Frédéric Dates : 25/01/2021 - 29/01/2021 Event Year : 2021 Event URL : https://conferences.cirm-math.fr/2472.html
Citation Data
DOI : 10.24350/CIRM.V.19705803Cite this video as: Oyallon, Edouard (2021). One signal processing view on deep learning - lecture 2. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19705803 URI : http://dx.doi.org/10.24350/CIRM.V.19705803 |
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