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readme.md

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## The optimization process
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- The detailed information you can get from [there](https://github.com/ranjiewwen/TF_cifar10/blob/master/doc/scratch.md).
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- run scripts `tools/trian_cifar10.py` **include adjust lr , add data augmentation ,add dropout ,weight decay,stack 3*3 conv training tricks. you can learn how train model acc from 70%+ to 91+%**.
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- run scripts `tools/trian_cifar10.py` **include adjust lr , add data augmentation ,add dropout ,weight decay,stack 3*3 conv training tricks. you can learn how train model acc from 70%+ to 91+%**, while add model depth through `conv4_1 and conv4_2` it can not imporve val acc.
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![](https://github.com/ranjiewwen/TF_cifar10/blob/master/doc/image/base_val_acc.png)
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- run scripts `tools/trian_cifar10_v2.py` include add batch_norm, we can see it make the training more unstable, maybe it not imporve val acc, while stack 3*3 conv it can improve val acc remarkable.
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![](https://github.com/ranjiewwen/TF_cifar10/blob/master/doc/image/v2_val_acc.png)

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