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Update results with finished SGD experiment.
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bamos committed Feb 10, 2017
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -5,7 +5,7 @@ DenseNet-BC architecture as described in the
paper [Densely Connected Convolutional Networks](https://arxiv.org/abs/1608.06993)
by G. Huang, Z. Liu, K. Weinberger, and L. van der Maaten.
This implementation gets a CIFAR-10+ error rate of
~4.81 with a 100-layer DenseNet-BC with a growth rate of 12.
4.77 with a 100-layer DenseNet-BC with a growth rate of 12.
Their official implementation and links to many other
third-party implementations are available in the
[liuzhuang13/DenseNet](https://github.com/liuzhuang13/DenseNet)
Expand Down Expand Up @@ -91,7 +91,7 @@ an growth rate of 12 on the CIFAR-10 dataset with
data augmentations.
Due to GPU memory sizes, this is the largest model I am able to run.
The paper reports a final test error of 4.51 with this
architecture and we obtain a final test error of ~4.81.
architecture and we obtain a final test error of 4.77.

![](images/sgd-loss-error.png)

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