A system for real-time interactive analysis of deep learning training

pp. 1-6, 2019.

Cited by: 2|Bibtex|Views16|DOI:https://doi.org/10.1145/3319499.3328231
EI
Other Links: dblp.uni-trier.de|dl.acm.org|arxiv.org

Abstract:

Performing diagnosis or exploratory analysis during the training of deep learning models is challenging but often necessary for making a sequence of decisions guided by the incremental observations. Currently available systems for this purpose are limited to monitoring only the logged data that must be specified before the training proces...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments