From 0663aba35744b19bc04196886ab89d7be2b1fbeb Mon Sep 17 00:00:00 2001 From: Sam Gross Date: Fri, 4 Mar 2016 14:38:20 -0500 Subject: [PATCH] Add plots of validation error, training error, and training loss See #18 --- pretrained/CONVERGENCE.md | 14 ++++++++++++++ pretrained/README.md | 3 +++ 2 files changed, 17 insertions(+) create mode 100644 pretrained/CONVERGENCE.md diff --git a/pretrained/CONVERGENCE.md b/pretrained/CONVERGENCE.md new file mode 100644 index 000000000..6c08dc18b --- /dev/null +++ b/pretrained/CONVERGENCE.md @@ -0,0 +1,14 @@ +These are plots of validation error, training error, and training loss on ImageNet measured after every epoch. + +- [Validation Error](#validation-error) +- [Training Error](#training-error) +- [Training Loss](#training-loss) + +## Validation Error +validation error + +## Training Error +train error + +## Training Loss +train loss diff --git a/pretrained/README.md b/pretrained/README.md index ca7878448..e30f0db01 100644 --- a/pretrained/README.md +++ b/pretrained/README.md @@ -28,6 +28,9 @@ The ResNet-50 model has a batch normalization layer after the addition, instead | ResNet-50 | 22.24 | 6.08 | | ResNet-101 | **21.08** | **5.35** | +##### ImageNet charts + +See the [convergence plots](CONVERGENCE.md) for charts of training and validation error and training loss after every epoch. ### Fine-tuning on a custom dataset