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

[caicloud-bot]

Issues go stale after 90d of inactivity.
Mark the issue as fresh with /remove-lifecycle stale.
Stale issues rot after an additional 30d of inactivity and eventually close.

Prevent issues from auto-closing with an /lifecycle frozen comment.

If this issue is safe to close now please do so with /close.

/lifecycle stale

[caicloud-bot]

Stale issues rot after 30d of inactivity.
Mark the issue as fresh with /remove-lifecycle rotten.
Rotten issues close after an additional 30d of inactivity.

If this issue is safe to close now please do so with /close.

/lifecycle rotten
/remove-lifecycle stale