forked from mindspore-Ecosystem/mindspore
!5587 [MS][Googlenet][README]googlenet readme have somewhere need to correct
Merge pull request !5587 from caojian05/ms_googlenet_readme_update
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@ -46,7 +46,7 @@ Dataset used: [CIFAR-10](<http://www.cs.toronto.edu/~kriz/cifar.html>)
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- Dataset size:175M,60,000 32*32 colorful images in 10 classes
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- Dataset size:175M,60,000 32*32 colorful images in 10 classes
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- Train:146M,50,000 images
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- Train:146M,50,000 images
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- Test:29.3M,10,000 images
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- Test:29M,10,000 images
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- Data format:binary files
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- Data format:binary files
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- Note:Data will be processed in src/dataset.py
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- Note:Data will be processed in src/dataset.py
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@ -301,8 +301,8 @@ Parameters for both training and evaluation can be set in config.py
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| -------------------------- | ----------------------------------------------------------- | ---------------------- |
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| -------------------------- | ----------------------------------------------------------- | ---------------------- |
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| Model Version | Inception V1 | Inception V1 |
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| Model Version | Inception V1 | Inception V1 |
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| Resource | Ascend 910 ;CPU 2.60GHz,56cores;Memory,314G | NV SMX2 V100-32G |
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| Resource | Ascend 910 ;CPU 2.60GHz,56cores;Memory,314G | NV SMX2 V100-32G |
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| uploaded Date | 06/09/2020 (month/day/year) | 08/20/2020 |
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| uploaded Date | 08/31/2020 (month/day/year) | 08/20/2020 (month/day/year) |
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| MindSpore Version | 0.2.0-alpha | 0.6.0-alpha |
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| MindSpore Version | 0.7.0-alpha | 0.6.0-alpha |
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| Dataset | CIFAR-10 | CIFAR-10 |
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| Dataset | CIFAR-10 | CIFAR-10 |
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| Training Parameters | epoch=125, steps=390, batch_size = 128, lr=0.1 | epoch=125, steps=390, batch_size=128, lr=0.1 |
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| Training Parameters | epoch=125, steps=390, batch_size = 128, lr=0.1 | epoch=125, steps=390, batch_size=128, lr=0.1 |
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| Optimizer | SGD | SGD |
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| Optimizer | SGD | SGD |
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@ -314,7 +314,7 @@ Parameters for both training and evaluation can be set in config.py
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| Parameters (M) | 13.0 | 13.0 |
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| Parameters (M) | 13.0 | 13.0 |
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| Checkpoint for Fine tuning | 43.07M (.ckpt file) | 43.07M (.ckpt file) |
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| Checkpoint for Fine tuning | 43.07M (.ckpt file) | 43.07M (.ckpt file) |
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| Model for inference | 21.50M (.onnx file), 21.60M(.air file) | |
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| Model for inference | 21.50M (.onnx file), 21.60M(.air file) | |
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| Scripts | [googlenet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/googlenet) | [googlenet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/googlenet) |
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| Scripts | [googlenet script](https://gitee.com/mindspore/mindspore/tree/r0.7/model_zoo/official/cv/googlenet) | [googlenet script](https://gitee.com/mindspore/mindspore/tree/r0.6/model_zoo/official/cv/googlenet) |
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### Inference Performance
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### Inference Performance
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@ -323,8 +323,8 @@ Parameters for both training and evaluation can be set in config.py
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| ------------------- | --------------------------- | --------------------------- |
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| ------------------- | --------------------------- | --------------------------- |
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| Model Version | Inception V1 | Inception V1 |
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| Model Version | Inception V1 | Inception V1 |
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| Resource | Ascend 910 | GPU |
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| Resource | Ascend 910 | GPU |
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| Uploaded Date | 06/09/2020 (month/day/year) | 08/20/2020 (month/day/year) |
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| Uploaded Date | 08/31/2020 (month/day/year) | 08/20/2020 (month/day/year) |
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| MindSpore Version | 0.2.0-alpha | 0.6.0-alpha |
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| MindSpore Version | 0.7.0-alpha | 0.6.0-alpha |
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| Dataset | CIFAR-10, 10,000 images | CIFAR-10, 10,000 images |
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| Dataset | CIFAR-10, 10,000 images | CIFAR-10, 10,000 images |
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| batch_size | 128 | 128 |
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| batch_size | 128 | 128 |
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| outputs | probability | probability |
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| outputs | probability | probability |
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