Veagau Gendhi

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Little complex but it works! Thanks a lot.

Windows系统如果要显示目录树的话可以使用如下命令: `!tree /F` 替换**整个第二行**即可,不过好像不支持指定目录(jupyter notebook里好像对tree命令进行了修改)……

在window环境下打印指定目录的目录树的话 执行如下命令即可: `!tree ".\data\dogcat" /F`

DeepL官方现在已经推出了浏览器翻译插件,目前是测试版,右键弹窗翻译+输入框翻译,个人使用感觉不错,感兴趣的可以去体验一下: ![Chrome Extension](https://user-images.githubusercontent.com/28336196/167534041-3641ee88-6776-4f59-994e-d5e04f749880.png) **下面是在专业技术(计算机)领域DeepL与其他翻译的对比** ![ DeepL](https://user-images.githubusercontent.com/28336196/167534153-e6341f97-a5f2-420f-a002-dff72ad6bad4.png) ![Others](https://user-images.githubusercontent.com/28336196/167534174-aff6910f-ccac-4884-aa48-2da6883c5274.png) **文本框输入翻译** ![Input Translate](https://user-images.githubusercontent.com/28336196/167534232-cbedf824-e903-4791-8649-e7659ffffa13.png)

Waiting for full code too.

The same problem. When I run the cross-domain experiments on baseline with Conv4-net, I change the batch_size from 16 to 128, while the GPU utilization rate is still very low....

> The same problem. When I run the cross-domain experiments on baseline with Conv4-net, I change the batch_size from 16 to 128, while the GPU utilization rate is still very...