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问题所属任务编号（Task 01-05）
Task 03
运行环境（操作系统版本、Python 版本）/ 非程序问题
完整的报错信息（截图或复制均可）/ 问题详细描述
我们输出有噪声的scatter图时，【问题】这个detach().是不是没必要，去掉也行？还是有额外的好处？
d2l.plt.scatter(features[:, 1].detach().numpy(), labels.detach().numpy(), 1);
描述你期望看到的结果
detach是为了切断一些分支的反向传播。
detach返回一个新的tensor，和原始的tensor共同一个内存，仍指向原变量的存放位置,新的tensor不计算梯度。
现在看没有区别，但加了以后优势在于：①当我们只想要调整部分网络参数或②只训练部分分支网络，并不让其梯度对主网络的梯度造成影响时。。。使用这个新的tensor进行计算反向传播时，运行到这个调用了deach的tensor就会停止，不再继续向前进行传播。