CaffeLink: Mathematica binding for Caffe Deep Learning Framework
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235354" target="_blank" >RIV/68407700:21230/15:00235354 - isvavai.cz</a>
Result on the web
<a href="http://www.ims2015.net/proceedings/" target="_blank" >http://www.ims2015.net/proceedings/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CaffeLink: Mathematica binding for Caffe Deep Learning Framework
Original language description
In this paper we present CaffeLink an open-source library for Mathematica which is a binding of a well-established Caffe deep learning framework. Caffe is a highly-optimized CUDA accelerated library with focus on convolutional neural networks written inC++ with Python and Matlab bindings. CaffeLink is based upon Mathematica's LibraryLink. It makes accessible most features of Caffe directly from Mathematica environment which includes work with datasets, building networks, training them as well as evaluating them. Here we present an overview of the CaffeLink library with examples on MNIST and ImageNet datasets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Mathematica Symposium
ISBN
978-80-01-05623-3
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
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Publisher name
ČVUT, Fakulta elektrotechnická
Place of publication
Praha
Event location
Praha
Event date
Jan 12, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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