From f8a4ddce981b076140942db3291f07e6ba3f458c Mon Sep 17 00:00:00 2001 From: lvmingfu Date: Mon, 21 Mar 2022 21:14:11 +0800 Subject: [PATCH] modify obs download link --- tutorials/source_zh_cn/advance/dataset/custom.ipynb | 4 ++-- .../source_zh_cn/advance/dataset/enhanced_graph_data.ipynb | 4 ++-- .../source_zh_cn/advance/dataset/enhanced_image_data.ipynb | 4 ++-- .../source_zh_cn/advance/dataset/enhanced_text_data.ipynb | 4 ++-- tutorials/source_zh_cn/advance/dataset/iterator.ipynb | 4 ++-- tutorials/source_zh_cn/advance/dataset/record.ipynb | 4 ++-- tutorials/source_zh_cn/advance/dataset/sampler.ipynb | 4 ++-- tutorials/source_zh_cn/advance/dataset/transform.ipynb | 4 ++-- tutorials/source_zh_cn/advance/linear_fitting.ipynb | 2 +- tutorials/source_zh_cn/advance/network/control_flow.ipynb | 4 ++-- tutorials/source_zh_cn/advance/network/derivation.ipynb | 4 ++-- tutorials/source_zh_cn/advance/network/forward.ipynb | 2 +- tutorials/source_zh_cn/advance/network/loss.ipynb | 2 +- tutorials/source_zh_cn/advance/network/optim.ipynb | 2 +- tutorials/source_zh_cn/advance/network/parameter.ipynb | 2 +- tutorials/source_zh_cn/advance/pynative_graph/combine.ipynb | 4 ++-- tutorials/source_zh_cn/advance/pynative_graph/fallback.ipynb | 4 ++-- tutorials/source_zh_cn/advance/pynative_graph/mode.ipynb | 4 ++-- tutorials/source_zh_cn/advance/train/callback.ipynb | 4 ++-- tutorials/source_zh_cn/advance/train/metric.ipynb | 2 +- tutorials/source_zh_cn/advance/train/model.ipynb | 2 +- tutorials/source_zh_cn/advance/train/save.ipynb | 2 +- tutorials/source_zh_cn/advance/train/train_eval.ipynb | 2 +- tutorials/source_zh_cn/beginner/autograd.ipynb | 2 +- tutorials/source_zh_cn/beginner/dataset.ipynb | 2 +- tutorials/source_zh_cn/beginner/infer.ipynb | 2 +- tutorials/source_zh_cn/beginner/model.ipynb | 2 +- tutorials/source_zh_cn/beginner/quick_start.ipynb | 2 +- tutorials/source_zh_cn/beginner/save_load.ipynb | 2 +- tutorials/source_zh_cn/beginner/tensor.ipynb | 2 +- tutorials/source_zh_cn/beginner/train.ipynb | 2 +- 31 files changed, 45 insertions(+), 45 deletions(-) diff --git a/tutorials/source_zh_cn/advance/dataset/custom.ipynb b/tutorials/source_zh_cn/advance/dataset/custom.ipynb index 51ff533c00..6a64b042a5 100644 --- a/tutorials/source_zh_cn/advance/dataset/custom.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/custom.ipynb @@ -6,8 +6,8 @@ "source": [ "# 自定义数据集\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_custom.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_custom.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_custom.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_custom.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/custom.ipynb)\n", "\n", "[mindspore.dataset](https://www.mindspore.cn/docs/api/zh-CN/master/api_python/mindspore.dataset.html)提供了部分常用数据集和标准格式数据集的加载接口。对于MindSpore暂不支持直接加载的数据集，可以通过构造自定义数据集类或自定义数据集生成函数的方式来生成数据集，然后通过[mindspore.dataset.GeneratorDataset](https://www.mindspore.cn/docs/api/zh-CN/master/api_python/dataset/mindspore.dataset.GeneratorDataset.html#mindspore.dataset.GeneratorDataset)接口实现自定义方式的数据集加载。\n", diff --git a/tutorials/source_zh_cn/advance/dataset/enhanced_graph_data.ipynb b/tutorials/source_zh_cn/advance/dataset/enhanced_graph_data.ipynb index 6080be88c0..94a4e08280 100644 --- a/tutorials/source_zh_cn/advance/dataset/enhanced_graph_data.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/enhanced_graph_data.ipynb @@ -6,8 +6,8 @@ "source": [ "# 图数据集加载与处理\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_enhanced_graph_data.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_enhanced_graph_data.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_enhanced_graph_data.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_enhanced_graph_data.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/enhanced_graph_data.ipynb)\n", "\n", "MindSpore提供的`mindspore.dataset`模块可以帮助用户构建数据集对象，分批次地读取文本数据。同时，在各个数据集类中还内置了数据处理和数据分词算子，使得数据在训练过程中能够像经过pipeline管道的水一样源源不断地流向训练系统，提升数据训练效果。\n", diff --git a/tutorials/source_zh_cn/advance/dataset/enhanced_image_data.ipynb b/tutorials/source_zh_cn/advance/dataset/enhanced_image_data.ipynb index 6a2b568a76..42b5748e79 100644 --- a/tutorials/source_zh_cn/advance/dataset/enhanced_image_data.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/enhanced_image_data.ipynb @@ -6,8 +6,8 @@ "source": [ "# 图像数据加载与增强\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_enhanced_image_data.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_enhanced_image_data.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_enhanced_image_data.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_enhanced_image_data.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/enhanced_image_data.ipynb)\n", "\n", "在计算机视觉任务中，数据量过小、样本场景单一等问题都会影响模型的训练效果，用户可以通过数据增强操作对图像进行预处理，从而提升模型的泛化性。MindSpore提供了`c_transforms`模块和`py_transforms`模块供用户进行多种数据增强操作，二者的区别如下，用户也可以自定义函数或者算子进行数据增强。\n", diff --git a/tutorials/source_zh_cn/advance/dataset/enhanced_text_data.ipynb b/tutorials/source_zh_cn/advance/dataset/enhanced_text_data.ipynb index 98b584e4dd..b84632a03a 100644 --- a/tutorials/source_zh_cn/advance/dataset/enhanced_text_data.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/enhanced_text_data.ipynb @@ -6,8 +6,8 @@ "source": [ "# 文本数据加载与增强\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_enhanced_text_data.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_enhanced_text_data.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_enhanced_text_data.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_enhanced_text_data.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/enhanced_text_data.ipynb)\n", "\n", "随着可获得的文本数据逐步增多，对文本数据进行预处理，以便获得可用于网络训练所需干净数据的诉求也更为迫切。文本数据集预处理通常包括文本数据集加载与数据增强两部分。\n", diff --git a/tutorials/source_zh_cn/advance/dataset/iterator.ipynb b/tutorials/source_zh_cn/advance/dataset/iterator.ipynb index 908c66c69a..04885c55ac 100644 --- a/tutorials/source_zh_cn/advance/dataset/iterator.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/iterator.ipynb @@ -6,8 +6,8 @@ "source": [ "# 数据迭代\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_iterator.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_iterator.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_iterator.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_iterator.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/iterator.ipynb)\n", "\n", "原始数据集通过数据集加载接口读取到内存，再通过数据增强操作进行数据变换，最后得到的数据集对象有两种常规的数据迭代方法：\n", diff --git a/tutorials/source_zh_cn/advance/dataset/record.ipynb b/tutorials/source_zh_cn/advance/dataset/record.ipynb index a328b3c2e8..ba0fb5bba4 100644 --- a/tutorials/source_zh_cn/advance/dataset/record.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/record.ipynb @@ -6,8 +6,8 @@ "source": [ "# 格式转换\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_record.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_record.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_record.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_record.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/record.ipynb)\n", "\n", "MindSpore中可以把用于训练网络模型的数据集，转换为MindSpore特定的格式数据（MindSpore Record格式），从而更加方便地保存和加载数据。其目标是归一化用户的数据集，并进一步通过`MindDataset`接口实现数据的读取，并用于训练过程。\n", diff --git a/tutorials/source_zh_cn/advance/dataset/sampler.ipynb b/tutorials/source_zh_cn/advance/dataset/sampler.ipynb index 1d23d616e1..c6cb6af77a 100644 --- a/tutorials/source_zh_cn/advance/dataset/sampler.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/sampler.ipynb @@ -6,8 +6,8 @@ "source": [ "# 数据采样\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_sampler.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_sampler.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_sampler.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_sampler.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/sampler.ipynb)\n", "\n", "为满足训练需求，解决诸如数据集过大或样本类别分布不均等问题，MindSpore提供了多种不同用途的采样器（Sampler），帮助用户对数据集进行不同形式的采样。用户只需在加载数据集时传入采样器对象，即可实现数据的采样。\n", diff --git a/tutorials/source_zh_cn/advance/dataset/transform.ipynb b/tutorials/source_zh_cn/advance/dataset/transform.ipynb index 094b82b064..b8013c776d 100644 --- a/tutorials/source_zh_cn/advance/dataset/transform.ipynb +++ b/tutorials/source_zh_cn/advance/dataset/transform.ipynb @@ -6,8 +6,8 @@ "source": [ "# 数据处理\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_transform.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_transform.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_transform.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/dataset/mindspore_transform.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/dataset/transform.ipynb)\n", "\n", "数据是深度学习的基础，良好的数据输入可以对整个深度神经网络训练起到非常积极的作用。在训练前对已加载的数据集进行数据处理，可以解决诸如数据量过大、样本分布不均等问题，从而获得对训练结果更有利的数据输入。\n", diff --git a/tutorials/source_zh_cn/advance/linear_fitting.ipynb b/tutorials/source_zh_cn/advance/linear_fitting.ipynb index 92ad484cc6..6143c5ba5b 100644 --- a/tutorials/source_zh_cn/advance/linear_fitting.ipynb +++ b/tutorials/source_zh_cn/advance/linear_fitting.ipynb @@ -6,7 +6,7 @@ "source": [ "# 自定义案例：线性拟合\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/mindspore_linear_fitting.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/mindspore_linear_fitting.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/linear_fitting.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/mindspore_linear_fitting.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/mindspore_linear_fitting.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/linear_fitting.ipynb)\n", "\n", "MindSpore向用户提供了高阶、中阶和低阶3个不同层次的API，详细内容参见[基本介绍-层次结构内容章节](https://www.mindspore.cn/tutorials/zh-CN/master/beginner/introduction.html#层次结构)。\n", "\n", diff --git a/tutorials/source_zh_cn/advance/network/control_flow.ipynb b/tutorials/source_zh_cn/advance/network/control_flow.ipynb index e15fd96ad5..b496aec04c 100644 --- a/tutorials/source_zh_cn/advance/network/control_flow.ipynb +++ b/tutorials/source_zh_cn/advance/network/control_flow.ipynb @@ -6,8 +6,8 @@ "source": [ "# 流程控制语句\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_control_flow.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_control_flow.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/network/mindspore_control_flow.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/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_control_flow.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/network/control_flow.ipynb)\n", "\n", "目前主流的深度学习框架的执行模式有两种，分别为静态图模式`GRAPH_MODE`和动态图`PYNATIVE_MODE`模式。\n", diff --git a/tutorials/source_zh_cn/advance/network/derivation.ipynb b/tutorials/source_zh_cn/advance/network/derivation.ipynb index 076f52bd5a..212e2ce769 100644 --- a/tutorials/source_zh_cn/advance/network/derivation.ipynb +++ b/tutorials/source_zh_cn/advance/network/derivation.ipynb @@ -6,8 +6,8 @@ "source": [ "# 自动求导\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_derivation.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_derivation.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/network/mindspore_derivation.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/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_derivation.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/network/derivation.ipynb)\n", "\n", "`mindspore.ops`模块提供的`GradOperation`接口可以生成网络模型的梯度。本文主要介绍如何使用`GradOperation`接口进行一阶、二阶求导，以及如何停止计算梯度。\n", diff --git a/tutorials/source_zh_cn/advance/network/forward.ipynb b/tutorials/source_zh_cn/advance/network/forward.ipynb index 7b321b4338..20a8137734 100644 --- a/tutorials/source_zh_cn/advance/network/forward.ipynb +++ b/tutorials/source_zh_cn/advance/network/forward.ipynb @@ -6,7 +6,7 @@ "source": [ "# 构建网络\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/mindspore_forward.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/mindspore_forward.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/forward.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_forward.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_forward.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/forward.ipynb)\n", "\n", "MindSpore的`Cell`类是构建所有网络的基类，也是网络的基本单元。自定义网络时，需要继承`Cell`类，本章主要介绍网络基本单元`Cell`和自定义前向网络。\n", "\n", diff --git a/tutorials/source_zh_cn/advance/network/loss.ipynb b/tutorials/source_zh_cn/advance/network/loss.ipynb index 08c1a7f0af..8f671c56bb 100644 --- a/tutorials/source_zh_cn/advance/network/loss.ipynb +++ b/tutorials/source_zh_cn/advance/network/loss.ipynb @@ -6,7 +6,7 @@ "source": [ "# 损失函数\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/mindspore_loss.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/mindspore_loss.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/loss.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_loss.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_loss.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/loss.ipynb)\n", "\n", "损失函数，又叫目标函数，用于衡量预测值与真实值差异的程度。\n", "\n", diff --git a/tutorials/source_zh_cn/advance/network/optim.ipynb b/tutorials/source_zh_cn/advance/network/optim.ipynb index a493983480..1e746f7a60 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/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/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/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", "\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/network/parameter.ipynb b/tutorials/source_zh_cn/advance/network/parameter.ipynb index 347a946f02..c0fe9c0eb8 100644 --- a/tutorials/source_zh_cn/advance/network/parameter.ipynb +++ b/tutorials/source_zh_cn/advance/network/parameter.ipynb @@ -6,7 +6,7 @@ "source": [ "# 网络参数\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/mindspore_parameter.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/mindspore_parameter.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/parameter.ipynb)" + "[![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_parameter.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_parameter.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/parameter.ipynb)" ] }, { diff --git a/tutorials/source_zh_cn/advance/pynative_graph/combine.ipynb b/tutorials/source_zh_cn/advance/pynative_graph/combine.ipynb index 71232125b4..194873a921 100644 --- a/tutorials/source_zh_cn/advance/pynative_graph/combine.ipynb +++ b/tutorials/source_zh_cn/advance/pynative_graph/combine.ipynb @@ -6,8 +6,8 @@ "source": [ "# 动静结合\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_combine.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_combine.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/pynative_graph/mindspore_combine.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/pynative_graph/mindspore_combine.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/pynative_graph/combine.ipynb)\n", "\n", "当前在业界支持动态图和静态图两种模式，动态图通过解释执行，具有动态语法亲和性，表达灵活；静态图使用jit编译优化执行，偏静态语法，在语法上有较多限制。动态图和静态图的编译流程不一致，语法约束不一致。\n", diff --git a/tutorials/source_zh_cn/advance/pynative_graph/fallback.ipynb b/tutorials/source_zh_cn/advance/pynative_graph/fallback.ipynb index 53b9f2c33a..82c1f0255d 100644 --- a/tutorials/source_zh_cn/advance/pynative_graph/fallback.ipynb +++ b/tutorials/source_zh_cn/advance/pynative_graph/fallback.ipynb @@ -6,8 +6,8 @@ "source": [ "# 动静统一\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_fallback.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_fallback.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/pynative_graph/mindspore_fallback.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/pynative_graph/mindspore_fallback.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/pynative_graph/fallback.ipynb)\n", "\n", "!!zhaoyu, 修改下面这段话：动静统一：MindSpore可以通过set_context来实现动静态图的一键式切换，但是不可否认当前确实存在不少动态图无法转到静态图的语法，MindSpore正在做JIT fallback的工作，预计1.6版本先实现编译推导期的fallback。\n", diff --git a/tutorials/source_zh_cn/advance/pynative_graph/mode.ipynb b/tutorials/source_zh_cn/advance/pynative_graph/mode.ipynb index 1c72eff513..9d515eb503 100644 --- a/tutorials/source_zh_cn/advance/pynative_graph/mode.ipynb +++ b/tutorials/source_zh_cn/advance/pynative_graph/mode.ipynb @@ -6,8 +6,8 @@ "source": [ "# 动静态图\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_mode.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_mode.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/pynative_graph/mindspore_mode.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/pynative_graph/mindspore_mode.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/pynative_graph/mode.ipynb)\n", "\n", "目前主流的深度学习框架有静态图和动态图两种执行模式。\n", diff --git a/tutorials/source_zh_cn/advance/train/callback.ipynb b/tutorials/source_zh_cn/advance/train/callback.ipynb index b6b1fe437f..ce4146ecac 100644 --- a/tutorials/source_zh_cn/advance/train/callback.ipynb +++ b/tutorials/source_zh_cn/advance/train/callback.ipynb @@ -6,8 +6,8 @@ "source": [ "# 回调机制 Callback\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_callback.ipynb) \n", - "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_callback.py) \n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/advance/train/mindspore_callback.ipynb) \n", + "[![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/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_callback.py) \n", "[![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/advance/callback.ipynb)\n", "\n", "在深度学习训练过程中，为及时掌握网络模型的训练状态、实时观察网络模型各参数的变化情况和实现训练过程中用户自定义的一些操作，MindSpore提供了回调机制（Callback）来实现上述功能。\n", diff --git a/tutorials/source_zh_cn/advance/train/metric.ipynb b/tutorials/source_zh_cn/advance/train/metric.ipynb index 1a44ae99f0..4e0b13062a 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/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/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/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", "\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/model.ipynb b/tutorials/source_zh_cn/advance/train/model.ipynb index 643f703748..6c96a6cc6f 100644 --- a/tutorials/source_zh_cn/advance/train/model.ipynb +++ b/tutorials/source_zh_cn/advance/train/model.ipynb @@ -6,7 +6,7 @@ "source": [ "# Model基本使用\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/mindspore_model.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/mindspore_model.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/model.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_model.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_model.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/model.ipynb)\n", "\n", "通常情况下，定义训练和评估网络并直接运行，已经可以满足基本需求。\n", "\n", diff --git a/tutorials/source_zh_cn/advance/train/save.ipynb b/tutorials/source_zh_cn/advance/train/save.ipynb index f9a7a4aea5..4e71df1bea 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/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/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/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", "\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", diff --git a/tutorials/source_zh_cn/advance/train/train_eval.ipynb b/tutorials/source_zh_cn/advance/train/train_eval.ipynb index fd94b28761..48acce3a42 100644 --- a/tutorials/source_zh_cn/advance/train/train_eval.ipynb +++ b/tutorials/source_zh_cn/advance/train/train_eval.ipynb @@ -6,7 +6,7 @@ "source": [ "# 训练和评估\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/mindspore_train_eval.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/mindspore_train_eval.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/train_eval.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_train_eval.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_train_eval.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/train_eval.ipynb)\n", "\n", "前面章节讲解了MindSpore构建网络所使用的基本元素，如MindSpore的网络基本单元、损失函数、优化器和评价函数等。\n", "\n", diff --git a/tutorials/source_zh_cn/beginner/autograd.ipynb b/tutorials/source_zh_cn/beginner/autograd.ipynb index 8f24f24bc8..419da8079c 100644 --- a/tutorials/source_zh_cn/beginner/autograd.ipynb +++ b/tutorials/source_zh_cn/beginner/autograd.ipynb @@ -6,7 +6,7 @@ "source": [ "# 自动微分\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_autograd.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_autograd.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/autograd.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_autograd.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_autograd.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/autograd.ipynb)\n", "\n", "自动微分能够计算可导函数在某点处的导数值，是反向传播算法的一般化。自动微分主要解决的问题是将一个复杂的数学运算分解为一系列简单的基本运算，该功能对用户屏蔽了大量的求导细节和过程，大大降低了框架的使用门槛。\n", "\n", diff --git a/tutorials/source_zh_cn/beginner/dataset.ipynb b/tutorials/source_zh_cn/beginner/dataset.ipynb index e557549039..e334b03268 100644 --- a/tutorials/source_zh_cn/beginner/dataset.ipynb +++ b/tutorials/source_zh_cn/beginner/dataset.ipynb @@ -6,7 +6,7 @@ "source": [ "# 数据处理\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/mindspore_dataset.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/mindspore_dataset.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/dataset.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_dataset.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_dataset.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/dataset.ipynb)\n", "\n", "数据是深度学习的基础，高质量数据输入会在整个深度神经网络中起到积极作用。\n", "\n", diff --git a/tutorials/source_zh_cn/beginner/infer.ipynb b/tutorials/source_zh_cn/beginner/infer.ipynb index 0022da1759..a1f9949ab4 100644 --- a/tutorials/source_zh_cn/beginner/infer.ipynb +++ b/tutorials/source_zh_cn/beginner/infer.ipynb @@ -6,7 +6,7 @@ "source": [ "# 推理与部署\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_infer.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_infer.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/infer.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_infer.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_infer.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/infer.ipynb)\n", "\n", "本章使用MindSpore Vision中的`mobilenet_v2`网络微调的方法来开发一个AI应用（狗和牛角包分类），并将训练好的网络模型部署到Android手机上，执行推理和部署功能。\n", "\n", diff --git a/tutorials/source_zh_cn/beginner/model.ipynb b/tutorials/source_zh_cn/beginner/model.ipynb index 52fff73564..24eaea2006 100644 --- a/tutorials/source_zh_cn/beginner/model.ipynb +++ b/tutorials/source_zh_cn/beginner/model.ipynb @@ -6,7 +6,7 @@ "source": [ "# 创建网络\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_model.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_model.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/model.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_model.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_model.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/model.ipynb)\n", "\n", "神经网络模型由多个数据操作层组成，`mindspore.nn`提供了各种网络基础模块。本章以构建LeNet-5网络为例，先展示使用`mindspore.nn`建立神经网络模型，再展示使用`mindvision.classification.models`快速构建LeNet-5网络模型。\n", "\n", diff --git a/tutorials/source_zh_cn/beginner/quick_start.ipynb b/tutorials/source_zh_cn/beginner/quick_start.ipynb index 119d0cbf9c..4b2196ebae 100644 --- a/tutorials/source_zh_cn/beginner/quick_start.ipynb +++ b/tutorials/source_zh_cn/beginner/quick_start.ipynb @@ -6,7 +6,7 @@ "source": [ "# 快速入门：手写数字识别\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_quick_start.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_quick_start.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/quick_start.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_quick_start.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_quick_start.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/quick_start.ipynb)\n", "\n", "本章节贯穿MindSpore深度学习的基本流程，以LeNet5网络模型为例子，实现深度学习中的常见任务。" ] diff --git a/tutorials/source_zh_cn/beginner/save_load.ipynb b/tutorials/source_zh_cn/beginner/save_load.ipynb index 1068136ceb..1dc277377e 100644 --- a/tutorials/source_zh_cn/beginner/save_load.ipynb +++ b/tutorials/source_zh_cn/beginner/save_load.ipynb @@ -6,7 +6,7 @@ "source": [ "# 保存与加载\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_save_load.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_save_load.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/save_load.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_save_load.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_save_load.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/save_load.ipynb)\n", "\n", "上一章节的内容里面主要是介绍了如何调整超参数，并进行网络模型训练。训练网络模型的过程中，实际上我们希望保存中间和最后的结果，用于微调（fine-tune）和后续的模型部署和推理，现在开始学习如何设置超参和优化模型参数。" ] diff --git a/tutorials/source_zh_cn/beginner/tensor.ipynb b/tutorials/source_zh_cn/beginner/tensor.ipynb index 5156d12c81..30db52ecba 100644 --- a/tutorials/source_zh_cn/beginner/tensor.ipynb +++ b/tutorials/source_zh_cn/beginner/tensor.ipynb @@ -6,7 +6,7 @@ "source": [ "# 张量 Tensor\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_tensor.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_tensor.py)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_tensor.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_tensor.py)\n", " [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/tensor.ipynb)\n", "\n", "张量（Tensor）是一个可用来表示在一些矢量、标量和其他张量之间的线性关系的多线性函数，这些线性关系的基本例子有内积、外积、线性映射以及笛卡儿积。其坐标在 $n$ 维空间内，有  $n^{r}$ 个分量的一种量，其中每个分量都是坐标的函数，而在坐标变换时，这些分量也依照某些规则作线性变换。$r$ 称为该张量的秩或阶（与矩阵的秩和阶均无关系）。\n", diff --git a/tutorials/source_zh_cn/beginner/train.ipynb b/tutorials/source_zh_cn/beginner/train.ipynb index a106e10eea..9dce13e192 100644 --- a/tutorials/source_zh_cn/beginner/train.ipynb +++ b/tutorials/source_zh_cn/beginner/train.ipynb @@ -6,7 +6,7 @@ "source": [ "# 模型训练\n", "\n", - "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_train.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_train.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/train.ipynb)\n", + "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_train.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/beginner/mindspore_train.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/train.ipynb)\n", "\n", "通过上面章节的学习，我们已经学会如何创建模型和构建数据集，现在开始学习如何设置超参和优化模型参数。\n", "\n", -- Gitee