提交 d792e109 编写于 作者: M mindspore-ci-bot 提交者: Gitee

!510 Update download links for pre-trained models in network list

Merge pull request !510 from liyanliu96/liyan
......@@ -29,5 +29,15 @@
| Graph Neural Networks(GNN)| Text Classification | [GAT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/gnn/gat/src/gat.py) | Supported | Doing | Doing
## Pre-trained Models
*It refers to the released MindSpore version. The hardware platforms that support model training are CPU, GPU and Ascend. As shown in the table below, ✓ indicates that the pre-trained model run on the selected platform.
Coming soon.
Domain | Sub Domain| Network | CPU | GPU | Ascend | 0.5.0-beta*
|:------ |:------ | :------- |:------ |:------ |:----- |:-----
|Computer Vision (CV) | Image Classification| [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/alexnet/src/alexnet.py) | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/alexnet/alexnet_ascend_beta0.5_cifar10_official_classification_20200716.tar.gz)
|Computer Vision (CV) | Image Classification| [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/src/lenet.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/lenet/lenet_ascend_beta0.5_cifar10_official_classification_20200716.tar.gz)
|Computer Vision (CV) | Image Classification| [VGG16](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/vgg16/src/vgg.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/vgg/vgg16_ascend_beta0.5_cifar10_official_classification_20200715.tar.gz)
|Computer Vision (CV) | Image Classification| [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | | | ✓ |[Download](http://download.mindspore.cn/model_zoo/official/cv/resnet/resnet50_v1.5_ascend_alpha0.3_cifar10_official_classification_20200718.tar.gz)
|Computer Vision (CV) | Targets Detection| [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/yolov3_darknet53/src/yolo.py) | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/yolo/yolov3_darknet53_ascend_beta0.5_coco2014_official_object_detection_20200717.tar.gz)
| Natural Language Processing (NLP) | Natural Language Understanding| [BERT_Base](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_base_ascend_beta0.5_cn-wiki_official_nlp_20200720.tar.gz)
| Natural Language Processing (NLP) | Natural Language Understanding| [BERT_NEZHA](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_nezha_ascend_beta0.5_cn-wiki_official_nlp_20200720.tar.gz)
| Natural Language Processing (NLP) | Natural Language Understanding| [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/transformer/transformer_ascend_beta0.5_wmtende_official_machine_translation_20200713.tar.gz)
......@@ -4,30 +4,41 @@
## Model Zoo
| 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/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/official/cv/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/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/official/cv/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/official/cv/resnet/src/resnet.py) | Supported |Doing | Doing
|计算机视觉(CV) | 图像分类(Image Classification) | [ResNext50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnext50/src/image_classification.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/official/cv/vgg16/src/vgg.py) | Supported | Doing | Doing
| 计算机视觉(CV) | 移动端图像分类(Mobile Image Classification)<br>目标检测(Image Classification)<br>语义分割(Semantic Tegmentation) | [MobileNetV2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/mobilenetv2/src/mobilenetV2.py) | Supported | Supported | Doing
| 计算机视觉(CV) | 移动端图像分类(Mobile Image Classification)<br>目标检测(Image Classification)<br>语义分割(Semantic Tegmentation) | [MobileNetV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/mobilenetv3/src/mobilenetV3.py) | Doing | Supported | Doing
|计算机视觉(CV) | 目标检测(Targets Detection) | [SSD](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/ssd.py) | Supported |Doing | Doing
| 计算机视觉(CV) | 目标检测(Targets Detection) | [YoloV3-ResNet18](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_resnet18/src/yolov3.py) | Supported | Doing | Doing
| 计算机视觉(CV) | 目标检测(Targets Detection) | [FasterRCNN](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/faster_rcnn/src/FasterRcnn) | Supported | Doing | Doing
| 计算机视觉(CV) | 语义分割(Semantic Segmentation) | [DeeplabV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeplabv3/src/deeplabv3.py) | Supported | Doing | Doing
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | Supported | Doing | Doing
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py) | Supported | Doing | Doing
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/lstm/src/lstm.py) | Doing | Supported | Supported
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [MASS](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/mass/src/transformer) | Supported | Doing | Doing
| 推荐(Recommender) | 推荐系统、点击率预估(Recommender System, CTR prediction) | [DeepFM](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/deepfm/src/deepfm.py) | Supported | Doing | Doing
| 推荐(Recommender) | 推荐系统、搜索、排序(Recommender System, Search ranking) | [Wide&Deep](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/wide_and_deep/src/wide_and_deep.py) | Supported | Doing | Doing
| 图神经网络(GNN) | 文本分类(Text Classification) | [GCN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/gnn/gcn/src/gcn.py) | Supported | Doing | Doing
| 图神经网络(GNN) | 文本分类(Text Classification) | [GAT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/gnn/gat/src/gat.py) | Supported | Doing | Doing
| 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/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/official/cv/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/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/official/cv/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/official/cv/resnet/src/resnet.py) | Supported |Doing | Doing
|计算机视觉(CV) | 图像分类(Image Classification) | [ResNext50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnext50/src/image_classification.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
| 计算机视觉(CV) | 移动端图像分类(Mobile Image Classification)<br>目标检测(Image Classification)<br>语义分割(Semantic Tegmentation) | [MobileNetV2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/mobilenetv2/src/mobilenetV2.py) | Supported | Supported | Doing
| 计算机视觉(CV) | 移动端图像分类(Mobile Image Classification)<br>目标检测(Image Classification)<br>语义分割(Semantic Tegmentation) | [MobileNetV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/mobilenetv3/src/mobilenetV3.py) | Doing | Supported | Doing
| 计算机视觉(CV) | 图像分类(Image Classification) | [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Doing
|计算机视觉(CV) | 目标检测(Targets Detection) | [SSD](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/ssd.py) | Supported |Doing | Doing
| 计算机视觉(CV) | 目标检测(Targets Detection) | [YoloV3-ResNet18](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_resnet18/src/yolov3.py) | Supported | Doing | Doing
| 计算机视觉(CV) | 目标检测(Targets Detection) | [FasterRCNN](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/faster_rcnn/src/FasterRcnn) | Supported | Doing | Doing
| 计算机视觉(CV) | 语义分割(Semantic Segmentation) | [DeeplabV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeplabv3/src/deeplabv3.py) | Supported | Doing | Doing
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | Supported | Doing | Doing
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py) | Supported | Doing | Doing
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/lstm/src/lstm.py) | Doing | Supported | Supported
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding) | [MASS](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/mass/src/transformer) | Supported | Doing | Doing
| 推荐(Recommender) | 推荐系统、点击率预估(Recommender System, CTR prediction) | [DeepFM](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/deepfm/src/deepfm.py) | Supported | Doing | Doing
| 推荐(Recommender) | 推荐系统、搜索、排序(Recommender System, Search ranking) | [Wide&Deep](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/wide_and_deep/src/wide_and_deep.py) | Supported | Doing | Doing
| 图神经网络(GNN) | 文本分类(Text Classification) | [GCN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/gnn/gcn/src/gcn.py) | Supported | Doing | Doing
| 图神经网络(GNN) | 文本分类(Text Classification) | [GAT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/gnn/gat/src/gat.py) | Supported | Doing | Doing
## 预训练模型
建设中,即将上线
*代表MindSpore已发布的版本号,支持网络训练的硬件平台有CPU、GPU和Ascend,以下表格中 ✓ 代表模型是基于选中的硬件平台训练而来。
| 领域 | 子领域 | 网络 | CPU | GPU | Ascend | 0.5.0-beta*
|:---- |:----- |:---- |:---- |:---- |:---- |:------
|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) | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/alexnet/alexnet_ascend_beta0.5_cifar10_official_classification_20200716.tar.gz)
|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)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/lenet/lenet_ascend_beta0.5_cifar10_official_classification_20200716.tar.gz)
|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)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/vgg/vgg16_ascend_beta0.5_cifar10_official_classification_20200715.tar.gz)
|计算机视觉(CV) | 图像分类(Image Classification)| [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | | | ✓ |[下载](http://download.mindspore.cn/model_zoo/official/cv/resnet/resnet50_v1.5_ascend_alpha0.3_cifar10_official_classification_20200718.tar.gz)
|计算机视觉(CV) | 目标检测(Targets Detection)| [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/yolov3_darknet53) | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/yolo/yolov3_darknet53_ascend_beta0.5_coco2014_official_object_detection_20200717.tar.gz)
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [BERT_Base](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_base_ascend_beta0.5_cn-wiki_official_nlp_20200720.tar.gz)
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [BERT_NEZHA](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_nezha_ascend_beta0.5_cn-wiki_official_nlp_20200720.tar.gz)
| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/transformer/transformer_ascend_beta0.5_wmtende_official_machine_translation_20200713.tar.gz)
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册