diff --git a/tutorials/source_zh_cn/advance/network/optim.ipynb b/tutorials/source_zh_cn/advance/network/optim.ipynb index 1e746f7a6067c4a64168d9d6590b17b720a11e6d..c3ea0f2f64c05acd5582b8ea0474679eac70001a 100644 --- a/tutorials/source_zh_cn/advance/network/optim.ipynb +++ b/tutorials/source_zh_cn/advance/network/optim.ipynb @@ -6,7 +6,7 @@ "source": [ "# 优化器\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/network/mindspore_optim.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorial/zh_cn/advance/network/mindspore_optim.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/network/optim.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/network/mindspore_optim.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/network/mindspore_optim.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/network/optim.ipynb)\n", "\n", "模型训练过程中，使用优化器计算梯度并更新网络参数，合适的优化器可以有效减少训练时间，提高模型性能。\n", "\n", diff --git a/tutorials/source_zh_cn/advance/train/metric.ipynb b/tutorials/source_zh_cn/advance/train/metric.ipynb index 4e0b13062a0cea85d103e40a71531c539b47ef56..175e4e2547a5e0a448feef291a6ea144ca64f828 100644 --- a/tutorials/source_zh_cn/advance/train/metric.ipynb +++ b/tutorials/source_zh_cn/advance/train/metric.ipynb @@ -6,7 +6,7 @@ "source": [ "# 评价指标\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/train/mindspore_metric.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorial/zh_cn/advance/train/mindspore_metric.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/train/metric.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/train/mindspore_metric.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/train/mindspore_metric.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/train/metric.ipynb)\n", "\n", "当训练任务结束，常常需要评价函数（Metrics）来评估模型的好坏。不同的训练任务往往需要不同的Metrics函数。例如，对于二分类问题，常用的评价指标有precision（准确率）、recall（召回率）等，而对于多分类任务，可使用宏平均（Macro）和微平均（Micro）来评估。\n", "\n", diff --git a/tutorials/source_zh_cn/advance/train/save.ipynb b/tutorials/source_zh_cn/advance/train/save.ipynb index 4e71df1bea51df8bbe5083f5d41ffcaaf2bc7ecd..f3a2873deaf88fcfa0aef3e478ea1affffa3587d 100644 --- a/tutorials/source_zh_cn/advance/train/save.ipynb +++ b/tutorials/source_zh_cn/advance/train/save.ipynb @@ -7,7 +7,7 @@ "\n", "# 模型保存与导出\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/train/mindspore_save.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorial/zh_cn/advance/train/mindspore_save.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/train/save.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/train/mindspore_save.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/train/mindspore_save.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/master/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/train/save.ipynb)\n", "\n", "在模型训练过程中，可以添加检查点(CheckPoint)用于保存模型的参数，以便执行推理及再训练使用。如果想继续在不同硬件平台上做推理，可通过网络和CheckPoint格式文件生成对应的MindIR、AIR和ONNX格式文件。\n", "\n",