第四章 4.2.2节自定义损失函数 示例代码运行结果和书上不一致

[youlingwangzi]

What happened: 使用了相同的代码，但是代码运行结果不一致。 What you expected to happen: 我的代码如下：我的代码

代码运行结果： [[-0.81131774] [ 1.4845992 ]] [[-0.8106414] [ 1.485216 ]] [[-0.80985266] [ 1.4859272 ]] [[-0.80899984] [ 1.4866718 ]] [[-0.80812407] [ 1.4874339 ]] Final: [[-0.8072287] [ 1.4882191]]

书上预期的结果：

w1最终的值为： [1.01934695, 1.04280889] 在loss_more为10，loss_less为1的情况下，w1的值为： [0.95525807, 0.9813394]

[HenryChou0]

反向传播的优化方法不一致吧tf.train.AdamOptimizer

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