forked from OSSInnovation/mindspore
remove --mode
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@ -39,7 +39,7 @@ epoch: 1 step: 1538, loss is 1.0221305
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Then, evaluate AlexNet according to network model
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```python
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# evaluate AlexNet, 1 epoch training accuracy is up to 51.1%; 10 epoch training accuracy is up to 81.2%
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python eval.py --data_path cifar-10-verify-bin --mode test --ckpt_path checkpoint_alexnet-1_1562.ckpt
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python eval.py --data_path cifar-10-verify-bin --ckpt_path checkpoint_alexnet-1_1562.ckpt
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```
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## Note
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@ -44,7 +44,7 @@ epoch: 1 step: 1741, loss is 0.05018193
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Then, evaluate LeNet according to network model
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```python
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# evaluate LeNet, after 1 epoch training, the accuracy is up to 96.5%
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python eval.py --data_path MNIST_Data --mode test --ckpt_path checkpoint_lenet-1_1875.ckpt
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python eval.py --data_path MNIST_Data --ckpt_path checkpoint_lenet-1_1875.ckpt
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```
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## Note
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