diff --git a/docs/source_en/network_list.md b/docs/source_en/network_list.md index bbdb2aeb7af2842f0eeaa169051d4064850a6122..133019e0d91ca67d829f10f026b4bf46e2a9b369 100644 --- a/docs/source_en/network_list.md +++ b/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 diff --git a/docs/source_zh_cn/network_list.md b/docs/source_zh_cn/network_list.md index c6fbeff9068ce1b721bc3711d03724c168219611..1a895a95092ad949b845acc722ea72784812bb54 100644 --- a/docs/source_zh_cn/network_list.md +++ b/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 diff --git a/tutorials/source_en/advanced_use/computer_vision_application.md b/tutorials/source_en/advanced_use/computer_vision_application.md index 845b2f03362cebf66c26c54de9d5f6fa54ac2415..4da8db42e70ca632bafbe01ccd88235c760ba2a6 100644 --- a/tutorials/source_en/advanced_use/computer_vision_application.md +++ b/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. diff --git a/tutorials/source_en/use/multi_platform_inference.md b/tutorials/source_en/use/multi_platform_inference.md index 5f7414f6ecf1e8a549d8448109063b73d8f42c69..0d03a9d41d6c83d00306664287b3e2f865cea05b 100644 --- a/tutorials/source_en/use/multi_platform_inference.md +++ b/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 . - > Inference sample code: . + > Inference sample code: . 2. Use the `model.predict` API to perform inference. ```python diff --git a/tutorials/source_zh_cn/advanced_use/computer_vision_application.md b/tutorials/source_zh_cn/advanced_use/computer_vision_application.md index 5592f0554899c9e6c24a5da4067ba8fcbadc920d..41a1e2613b519c807271765ba0249815c3f04baa 100644 --- a/tutorials/source_zh_cn/advanced_use/computer_vision_application.md +++ b/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。 diff --git a/tutorials/source_zh_cn/use/multi_platform_inference.md b/tutorials/source_zh_cn/use/multi_platform_inference.md index 908be856f04e186b0151cfcde48175766e6ef8b5..bdc75ff2480ebbeb9dc78017fcc853fcfa07fda4 100644 --- a/tutorials/source_zh_cn/use/multi_platform_inference.md +++ b/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：。 - > 推理样例代码：。 + > 推理样例代码：。 2. 使用`model.predict`接口来进行推理操作。 ```python