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Issues list

din_attention中是否需要softmax归一化？
#39 opened Aug 21, 2020 by codefish1990
👍 3
The implementation of the Attention function is different from the description in the paper.
#34 opened Nov 13, 2019 by alanse7en
👍 2
GRU部分，有没有试过用类似BERT自注意力的方式呢，理论上长距离效果更加好呢
#13 opened Jan 23, 2019 by yuanjungod
"mask"这个输入代表什么意义？
#15 opened Feb 15, 2019 by raxxerwan
1
关于输入问题，如何将ID1，ID1的tag1，tag2，tag3，合并起来
#16 opened Feb 27, 2019 by sudongxiang
1
model.py 里面的一个 bug
#17 opened Mar 1, 2019 by sudongxiang
2
model.py 里面的auxiliary_net为什么激活函数是sigmoid
#18 opened Mar 1, 2019 by sudongxiang
2
如何标记正负样本
#22 opened Mar 20, 2019 by zscwind
1
some problems
#23 opened Apr 13, 2019 by qk-huang
Is the DNN model equal to Base Model in the article?
#24 opened Apr 18, 2019 by FrankKirin
DIN，DIEN的论文中，应该都有相应的权重正则化损失，想问一下代码里在哪可以看到这一部分？
#26 opened May 10, 2019 by ChovyChen
data_iterator iter有问题
#27 opened Jun 18, 2019 by supeihuang
12
样本组织方式
#28 opened Jul 2, 2019 by ChenkeyuParadise
data_iterator problem
#5 opened Nov 10, 2018 by better629
1
some problems about rnn.py
#31 opened Aug 5, 2019 by zkailinzhang
跑数据的时候一直卡在while TRUE循环，noclk_index 一直小于5
#32 opened Oct 25, 2019 by mztkenan
5
It seems that global step (tf.train.get_global_step) has not been increased. Current value (could be stable): 0 vs previous value: 0. You could increase the global step by passing tf.train.get_global_step() to Optimizer.apply_gradients or Optimizer.minimize.
#33 opened Nov 6, 2019 by mztkenan
The historical behavior length problem
#35 opened Apr 17, 2020 by wytzzz
batch_normalization 为啥不传入training字段啊，
#36 opened May 16, 2020 by lihairui1990
8
On difference between experiment setting of DIN and DIEN
#37 opened May 30, 2020 by ThyrixYang
过拟合问题
#38 opened Jul 7, 2020 by cookie54sun
2
无法复现到论文结果
#40 opened Sep 20, 2020 by PamelaDDD
4
which version of tenserflow should install to run train.py
#41 opened Oct 21, 2020 by liumiao-p
2
Alibaba数据集
#61 opened Feb 28, 2024 by wristlong
关于实际问题中的序列构造问题
#30 opened Aug 1, 2019 by caojiajia
ProTip! Updated in the last three days: updated:>2024-11-15.