Deep Learning
Tompson J.
Deep Learning
Yann LeCun. 1960 Facebook & NYU
Deep Learning
24?/03?/2016 Y LeCun. Deep Learning. Yann Le Cun. Facebook AI Research. Center for Data Science
Deep Learning
Y LeCun. MA Ranzato. Deep Learning. Tutorial. ICML Atlanta
Recent Advances in Deep Learning: An Overview
21?/07?/2018 Neural Networks Machine Learning
Deep learning with Elastic Averaging SGD
Yann LeCun. Center for Data Science NYU & Facebook AI Research yann@cims.nyu.edu. Abstract. We study the problem of stochastic optimization for deep
Réseaux de neurones et deep learning : Utilisation et méthodologie
Utilisations courantes du deep learning La forêt du Machine Learning ... minima locaux aussi « bons » vis-à-vis de la fonction de coût (Yann Le Cun).
DEEP LEARNING ET AGRICULTURE
Et cet algorithme SuperVision
Computer Perception With Deep Learning
25?/10?/2013 How can we make all the modules trainable and get them to learn appropriate representations? Page 12. Y LeCun. Deep Learning is Inevitable for ...
The Unreasonable Effectiveness of Deep Learning
Y LeCun. Architecture of Deep Learning-Based Recognition Systems Y LeCun. Future Systems: deep learning + structured prediction.
[PDF] Deep learning - Department of Computer Science
Deep learning is making major advances in solving problems that Tompson J Jain A LeCun Y Bregler C Joint training of a convolutional
(PDF) Deep Learning - ResearchGate
PDF Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of
[PDF] Deep Learning - CERN Indico
24 mar 2016 · Y LeCun Deep Learning Yann Le Cun Facebook AI Research Center for Data Science NYU Courant Institute of Mathematical Sciences NYU
[PDF] Introduction au Deep Learning
Cours de Yann LeCun “L'apprentissage profond : théorie et pratique” Coll`ege de France (2015-2016) Informatique et Sciences du Numérique www college-de-
[PDF] The Unreasonable Effectiveness of Deep Learning
Y LeCun Architecture of Deep Learning-Based Recognition Systems http://cs nyu edu/~sermanet/papers/Deep_ConvNets_for_Vision-Results pdf
[PDF] Deep Learning - Semantic Scholar
Deep Learning Yann LeCun Yoshua Bengio Geoffrey Hinton Deep learning allows computational models that are composed of multiple
[PDF] Introduction au Deep Learning
Introduction au Deep Learning Présentation et histoire du Deep Learning J Rynkiewicz Université Paris 1 Cette œuvre est mise à disposition selon les
[PDF] Computer Perception With Deep Learning
Y LeCun Computer Perception With Deep Learning Yann LeCun Center for Data Science Courant Institute of Mathematical Sciences New York University
[PDF] Deep learning: an introduction
Yann LeCun Yoshua Bengio Geoffrey Hinton Deep learning Nature 521 436–444 (28 May 2015) • Andrew L Beam Deep Learning 101 - Part 1: History and
Quel est le but du deep learning ?
Son objectif est de donner aux ordinateurs la capacité d'apprendre sans être spécifiquement programmés sur les résultats à fournir. Les algorithmes utilisés par le machine learning aident l'ordinateur à apprendre à reconnaître les choses.- De nombreux domaines s'intéressent à cette technologie : domaine médical (certains programmes qui utilisent la technologie du Deep Learning sont parfois plus fiable que l'analyse humaine ), domaine scientifique, domaine de la recherche, mais aussi de l'automobile, de l'industrie, le domaine militaire…
