汤庆港

Results 5 comments of 汤庆港

looking forward to the english version of the thesis

Looking forward to more works sharing

Results of data training

Thank you very much. You can still reply to my questions！    ------------------ 原始邮件 ------------------ 发件人: "Jay ***@***.***>; 发送时间: 2022年6月28日(星期二) 下午3:33 收件人: ***@***.***>; 抄送: ***@***.***>; ***@***.***>; 主题: Re: [chychen/BasketballGAN] Results of data...

Results of data training

![image](https://user-images.githubusercontent.com/54136969/177075772-60b2b255-3ea8-432f-acb4-a20be4c9ce21.png) According to this picture, how long did it take you to reach 200K epochs

Results of data training

我想拜读一下您的《生成對抗網路應用於籃球防守戰術生成》这篇文章，能否将PDF文件发到我的邮箱 ***@***.***   ------------------ 原始邮件 ------------------ 发件人: "chychen/BasketballGAN" ***@***.***>; 发送时间: 2022年7月4日(星期一) 中午11:55 ***@***.***>; ***@***.******@***.***>; 主题: Re: [chychen/BasketballGAN] Results of data training (Issue #5) Sorry, I can't remember, it should be less than 6 hours...

I used the following commands to train, but the training time was much longer than expected. How did you train？ python Train_Triple.py --folder_path='tmp' --data_path='data'

“Then, we train the critic for 5 iterations before training the generator once, and with every 20 epochs we update the critic 10 iterations per generator iteration, as this strategy...