Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Minor] Fix typos #332

Merged
merged 3 commits into from
Jul 7, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions pytorch_vision_vgg.md
Original file line number Diff line number Diff line change
Expand Up @@ -92,12 +92,12 @@ for i in range(top5_prob.size(0)):
### Model Description

Here we have implementations for the models proposed in [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/abs/1409.1556),
for each configurations and their with bachnorm version.
for each configurations and their with batchnorm version.

For example, configuration `A` presented in the paper is `vgg11`, configuration `B` is `vgg13`, configuration `D` is `vgg16`
and configuration `E` is `vgg19`. Their batchnorm version are suffixed with `_bn`.

Their 1-crop error rates on imagenet dataset with pretrained models are listed below.
Their Top-1 error rates on ImageNet dataset with pretrained models are listed below.

| Model structure | Top-1 error | Top-5 error |
| --------------- | ----------- | ----------- |
Expand Down