BUILDING, VISUALIZING AND EXECUTING DEEP LEARNING MODELS AS DATAFLOW GRAPHS

In recent years many frameworks have appeared, which enable users to easily build, visualize and execute deep learning networks on graphical interfaces. However, they do not always provide enough opporunities to automate this process. Generally, data processing programs can be organized into dataf...

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Bibliographic Details
Main Authors: Gábor KRUPPAI, Péter LEHOTAY-KÉRY, Attila KISS
Format: Article
Language:English
Published: Technical University of Kosice 2020-08-01
Series:Acta Electrotechnica et Informatica
Subjects:
Online Access:http://www.aei.tuke.sk/papers/2020/2/04_Kruppai.pdf