Deep Learning driven by Big Data

Invited lecture on ''Deep Learning driven by Big Data'' in the Cloud Computing and Big Data course at the University of Iceland. The lecture first introduces to the limitations of a linear perceptron model and how Artificial Neural Networks (ANNs) can solve non-linearly separable...

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Bibliographic Details
Main Author: Cavallaro, Gabriele
Format: Lecture
Language:English
Published: 2020
Subjects:
Iceland
Online Access:https://juser.fz-juelich.de/record/888539
https://juser.fz-juelich.de/search?p=id:%22FZJ-2020-05003%22
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spelling ftfzjuelichnvdb:oai:juser.fz-juelich.de:888539 2023-05-15T16:47:39+02:00 Deep Learning driven by Big Data Cavallaro, Gabriele DE 2020 https://juser.fz-juelich.de/record/888539 https://juser.fz-juelich.de/search?p=id:%22FZJ-2020-05003%22 eng eng info:eu-repo/semantics/altIdentifier/hdl/2128/26416 https://juser.fz-juelich.de/record/888539 https://juser.fz-juelich.de/search?p=id:%22FZJ-2020-05003%22 info:eu-repo/semantics/openAccess Lecture at University of Iceland (Online event, Online event), 20 Oct 2020 - 20 Oct 2020 info:eu-repo/semantics/lecture info:eu-repo/semantics/publishedVersion 2020 ftfzjuelichnvdb 2022-07-14T11:21:20Z Invited lecture on ''Deep Learning driven by Big Data'' in the Cloud Computing and Big Data course at the University of Iceland. The lecture first introduces to the limitations of a linear perceptron model and how Artificial Neural Networks (ANNs) can solve non-linearly separable data sets. Then, it explains how Convolutional Neural Networks (CNNs) can solve image recognition tasks. Finally it is demonstrates how to tune the parameters of the networks with the backpropagation algorithm. Lecture Iceland Forschungszentrum Jülich: JuSER (Juelich Shared Electronic Resources)
institution Open Polar
collection Forschungszentrum Jülich: JuSER (Juelich Shared Electronic Resources)
op_collection_id ftfzjuelichnvdb
language English
description Invited lecture on ''Deep Learning driven by Big Data'' in the Cloud Computing and Big Data course at the University of Iceland. The lecture first introduces to the limitations of a linear perceptron model and how Artificial Neural Networks (ANNs) can solve non-linearly separable data sets. Then, it explains how Convolutional Neural Networks (CNNs) can solve image recognition tasks. Finally it is demonstrates how to tune the parameters of the networks with the backpropagation algorithm.
format Lecture
author Cavallaro, Gabriele
spellingShingle Cavallaro, Gabriele
Deep Learning driven by Big Data
author_facet Cavallaro, Gabriele
author_sort Cavallaro, Gabriele
title Deep Learning driven by Big Data
title_short Deep Learning driven by Big Data
title_full Deep Learning driven by Big Data
title_fullStr Deep Learning driven by Big Data
title_full_unstemmed Deep Learning driven by Big Data
title_sort deep learning driven by big data
publishDate 2020
url https://juser.fz-juelich.de/record/888539
https://juser.fz-juelich.de/search?p=id:%22FZJ-2020-05003%22
op_coverage DE
genre Iceland
genre_facet Iceland
op_source Lecture at University of Iceland (Online event, Online event), 20 Oct 2020 - 20 Oct 2020
op_relation info:eu-repo/semantics/altIdentifier/hdl/2128/26416
https://juser.fz-juelich.de/record/888539
https://juser.fz-juelich.de/search?p=id:%22FZJ-2020-05003%22
op_rights info:eu-repo/semantics/openAccess
_version_ 1766037737126756352

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