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!7918 update vgg16 README 

Merge pull request !7918 from caojian05/ms_master_vgg16_bugfix
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mindspore-ci-bot 2020-10-29 17:39:36 +08:00 committed by Gitee
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model_zoo/official/cv/vgg16/README.md
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@ -35,6 +35,7 @@ here basic modules mainly include basic operation like: **3×3 conv** and **2×
# [Dataset](#contents)
Note that you can run the scripts based on the dataset mentioned in original paper or widely used in relevant domain/network architecture. In the following sections, we will introduce how to run the scripts using the related dataset below.
#### Dataset used: [CIFAR-10](<http://www.cs.toronto.edu/~kriz/cifar.html>)
@ -340,8 +341,8 @@ after allreduce eval: top5_correct=45582, tot=50000, acc=91.16%
| -------------------------- | ---------------------------------------------- |------------------------------------|
| Model Version | VGG16 | VGG16 |
| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G |NV SMX2 V100-32G |
| uploaded Date | 08/20/2020 |08/20/2020 |
| MindSpore Version | 0.5.0-alpha |0.5.0-alpha |
| uploaded Date | 10/28/2020 | 10/28/2020 |
| MindSpore Version | 1.0.0 | 1.0.0 |
| Dataset | CIFAR-10 |ImageNet2012 |
| Training Parameters | epoch=70, steps=781, batch_size = 64, lr=0.1 |epoch=150, steps=40036, batch_size = 32, lr=0.1 |
| Optimizer | Momentum |Momentum |
@ -360,8 +361,8 @@ after allreduce eval: top5_correct=45582, tot=50000, acc=91.16%
| ------------------- | --------------------------- |---------------------
| Model Version | VGG16 | VGG16 |
| Resource | Ascend 910 | GPU |
| Uploaded Date | 08/20/2020 | 08/20/2020 |
| MindSpore Version | 0.5.0-alpha |0.5.0-alpha |
| Uploaded Date | 10/28/2020 | 10/28/2020 |
| MindSpore Version | 1.0.0 | 1.0.0 |
| Dataset | CIFAR-10, 10,000 images |ImageNet2012, 5000 images |
| batch_size | 64 | 32 |
| outputs | probability | probability |