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Importance of Data Loading Pipeline in Training Deep Neural Networks

Importance of Data Loading Pipeline in Training Deep Neural Networks

21 April 2020
Mahdi Zolnouri
Xinlin Li
V. Nia
ArXivPDFHTML

Papers citing "Importance of Data Loading Pipeline in Training Deep Neural Networks"

3 / 3 papers shown
Title
Profiling and Improving the PyTorch Dataloader for high-latency Storage:
  A Technical Report
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report
Ivan Svogor
Christian Eichenberger
M. Spanring
M. Neun
Michael K Kopp
26
7
0
09 Nov 2022
Quantifying and Improving Performance of Distributed Deep Learning with
  Cloud Storage
Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage
Nicholas Krichevsky
M. S. Louis
Tian Guo
33
9
0
13 Aug 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
1