!405 change lenet and alexnet dir

Merge pull request !405 from wukesong/change_alexnet_lenet_dir

docs/source_en/network_list.md

@@ -6,9 +6,9 @@
 
 |  Domain | Sub Domain    | Network                                   | Ascend | GPU | CPU 
 |:------   |:------| :-----------                               |:------   |:------  |:-----
-|Computer Version (CV) | Image Classification  | [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/alexnet/src/alexnet.py)          |  Supported |  Supported | Doing
+|Computer Version (CV) | Image Classification  | [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/alexnet/src/alexnet.py)          |  Supported |  Supported | Doing
 | Computer Version (CV)  | Image Classification  | [GoogleNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/googlenet/src/googlenet.py)                                               |  Supported     | Doing | Doing
-| Computer Version (CV)  | Image Classification  | [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/lenet/src/lenet.py)              |  Supported |  Supported | Supported
+| Computer Version (CV)  | Image Classification  | [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/src/lenet.py)              |  Supported |  Supported | Supported
 | Computer Version (CV)  | Image Classification  | [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/resnet/src/resnet.py)          |  Supported |  Supported | Doing
 |Computer Version (CV)  | Image Classification  | [ResNet-101](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/resnet/src/resnet.py)                                              |  Supported |Doing | Doing
 | Computer Version (CV)  | Image Classification  | [VGG16](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/vgg16/src/vgg.py)                |  Supported |  Doing | Doing

docs/source_zh_cn/network_list.md

@@ -6,9 +6,9 @@
 
 |  领域 | 子领域    | 网络                                   | Ascend | GPU | CPU 
 |:------   |:------| :-----------                               |:------   |:------  |:-----
-|计算机视觉（CV） | 图像分类（Image Classification）  | [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/alexnet/src/alexnet.py)          |  Supported |  Supported | Doing
+|计算机视觉（CV） | 图像分类（Image Classification）  | [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/alexnet/src/alexnet.py)          |  Supported |  Supported | Doing
 | 计算机视觉（CV）  | 图像分类（Image Classification）  | [GoogleNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/googlenet/src/googlenet.py)                                               |  Supported     | Doing | Doing
-| 计算机视觉（CV）  | 图像分类（Image Classification）  | [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/lenet/src/lenet.py)              |  Supported |  Supported | Supported
+| 计算机视觉（CV）  | 图像分类（Image Classification）  | [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/src/lenet.py)              |  Supported |  Supported | Supported
 | 计算机视觉（CV）  | 图像分类（Image Classification）  | [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/resnet/src/resnet.py)          |  Supported |  Supported | Doing
 |计算机视觉（CV）  | 图像分类（Image Classification）  | [ResNet-101](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/resnet/src/resnet.py)                                              |  Supported |Doing | Doing
 | 计算机视觉（CV）  | 图像分类（Image Classification）  | [VGG16](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/vgg16/src/vgg.py)                |  Supported |  Doing | Doing

tutorials/source_en/advanced_use/computer_vision_application.md

@@ -36,7 +36,7 @@ def classify(image):
 
 The key point is to select a proper model. The model generally refers to a deep convolutional neural network (CNN), such as AlexNet, VGG, GoogleNet, and ResNet.
 
-MindSpore presets a typical CNN, developer can visit [model_zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo) to get more details.
+MindSpore presets a typical CNN, developer can visit [model_zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official) to get more details.
 
 MindSpore supports the following image classification networks: LeNet, AlexNet, and ResNet.
 

tutorials/source_en/use/multi_platform_inference.md

@@ -59,7 +59,7 @@ MindSpore supports the following inference scenarios based on the hardware platf
     ```
     In the preceding information:  
     `model.eval` is an API for model validation. For details about the API, see <https://www.mindspore.cn/api/en/master/api/python/mindspore/mindspore.html#mindspore.Model.eval>.
-    > Inference sample code: <https://gitee.com/mindspore/mindspore/blob/master/model_zoo/lenet/eval.py>.
+    > Inference sample code: <https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/eval.py>.
 
 2. Use the `model.predict` API to perform inference.
    ```python

tutorials/source_zh_cn/advanced_use/computer_vision_application.md

@@ -36,7 +36,7 @@ def classify(image):
 
 选择合适的model是关键。这里的model一般指的是深度卷积神经网络，如AlexNet、VGG、GoogLeNet、ResNet等等。
 
-MindSpore实现了典型的卷积神经网络，开发者可以参考[model_zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。
+MindSpore实现了典型的卷积神经网络，开发者可以参考[model_zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official)。
 
 MindSpore当前支持的图像分类网络包括：典型网络LeNet、AlexNet、ResNet。
 

tutorials/source_zh_cn/use/multi_platform_inference.md

@@ -59,7 +59,7 @@ CPU | ONNX格式 | 支持ONNX推理的runtime/SDK，如TensorRT。
     ```
     其中，  
     `model.eval`为模型验证接口，对应接口说明：<https://www.mindspore.cn/api/zh-CN/master/api/python/mindspore/mindspore.html#mindspore.Model.eval>。
-    > 推理样例代码：<https://gitee.com/mindspore/mindspore/blob/master/model_zoo/lenet/eval.py>。
+    > 推理样例代码：<https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/eval.py>。
 
 2. 使用`model.predict`接口来进行推理操作。
    ```python