Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 44

above we observe that the models ResNet50 and Inception-v4 reached between 92

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Deep Learning Performance: Scale-up vs Scale-out Figure 37: Training long tests to extract accuracy convergence and training time with 8X SXM2 and different models Figure 37 above we observe that the models ResNet50 and Inception-v4 reached between 92%96% of accuracy convergence in 90 epochs; however, ResNet50 with different batch sizes Architectures & Technologies Dell EMC | Infrastructure Solutions Group 43

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Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies
Dell
EMC
| Infrastructure Solutions Group
43
Figure 37: Training long tests to extract accuracy convergence and training time with 8X SXM2 and
different models
Figure
37
above we observe that the models ResNet50 and Inception-v4 reached between 92%-
96% of accuracy convergence in 90 epochs; however, ResNet50 with different batch sizes