fix error links in model zoo files for master

This commit is contained in:
lvmingfu 2021-08-28 11:09:51 +08:00
parent dd0cec9f7f
commit 7231b123c9
3 changed files with 5 additions and 5 deletions

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@ -50,8 +50,8 @@ EfficientNet总体网络架构如下
- 框架
- [MindSpore](https://www.mindspore.cn/install)
- 如需查看详情,请参见如下资源:
- [MindSpore 教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
- [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
- [MindSpore 教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
- [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)
# 脚本说明

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@ -56,8 +56,8 @@ Dataset used: [omniglot](https://github.com/brendenlake/omniglot)
- Framework
- [MindSpore](https://www.mindspore.cn/install/en)
- For more information, please check the resources below
- [MindSpore Tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html)
- [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
- [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
- [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)
# [Quick Start](#contents)

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@ -432,7 +432,7 @@ train_parallel1/log:epcoh: 2 step: 97, loss is 1.7133579
...
```
> About rank_table.json, you can refer to the [distributed training tutorial](https://www.mindspore.cn/tutorials/en/master/distributed_training.html).
> About rank_table.json, you can refer to the [distributed training tutorial](https://www.mindspore.cn/tutorials/zh-CN/master/distributed_training.html).
> **Attention** This will bind the processor cores according to the `device_num` and total processor numbers. If you don't expect to run pretraining with binding processor cores, remove the operations about `taskset` in `scripts/run_distribute_train.sh`
##### Run vgg19 on GPU