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