Deepobs: A deep learning optimizer benchmark suite

F Schneider, L Balles, P Hennig - arXiv preprint arXiv:1903.05499, 2019 - arxiv.org
Because the choice and tuning of the optimizer affects the speed, and ultimately the
performance of deep learning, there is significant past and recent research in this area. Yet …
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[PDF][PDF] DeepOBS: A Deep Learning Optimizer Benchmark Suite

F Schneider, L Balles, P Hennig - Learning - postersession.ai.s3.amazonaws.com
Stochas city: Each op miza on run is inherently stochas c due to the sub-sampling of mini-
batches. In order to get meaningful results mul ple runs on the same problem, but different …

[引用][C] DeepOBS: A Deep Learning Optimizer Benchmark Suite

F Schneider, L Balles, P Hennig - International Conference on …, 2019 - pure.mpg.de
DeepOBS: A Deep Learning Optimizer Benchmark Suite :: MPG.PuRe Deutsch Hilfe
Datenschutzhinweis Impressum Volltexte einbeziehen DetailsucheBrowse START ABLAGE …

DeepOBS: A Deep Learning Optimizer Benchmark Suite

F Schneider, L Balles, P Hennig - International Conference on Learning … - openreview.net
Because the choice and tuning of the optimizer affects the speed, and ultimately the
performance of deep learning, there is significant past and recent research in this area. Yet …

DeepOBS: A Deep Learning Optimizer Benchmark Suite

F Schneider, L Balles, P Hennig - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Because the choice and tuning of the optimizer affects the speed, and ultimately the
performance of deep learning, there is significant past and recent research in this area. Yet …