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是内存不够吗。
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感谢分享!
我使用readme里默认的Digital_Music数据集,训练了DeepCoNN和NARRE。
1. 发现在DeepCoNN上验证结果为`evaluation reslut: mse: 0.8446; rmse: 0.9190;` 好于NRCA中出现的`mse=1.056`。在NARRE上为`evaluation reslut: mse: 0.8321; rmse: 0.9122…
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大佬好,想请教下这个问题
(pytorch) D:\workspace\pycharm\Neu-Review-Rec>python main.py test --pth_path="./checkpoints/DeepCoNN_Digital_Music_data_default.pth" --model=DeepCoNN
load npy from dist...
************…
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首先谢谢作者的分享,非常感谢!
然后,我发现DeepCoNN存在Dropout重复计算的问题:
两次计算如下
1. model/deepconn.py: line 40-41
2. framework/models/py: line 41
取消掉第一次的Dropout计算后,DeepCoNN效果有一定提升。
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作者,你好!谢谢你的代码开源分享。我在 amazon 的 Instant Video 和 Toy&Games两个数据集上测试的,遇到了MPCN实验结果不如DeepCoNN的情况。请问一下你们复现MPCN的结果是怎样的?MPCN的实验有什么trick,或者参数需要注意的嘛?
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作者你好,我跑了这个开源项目中的DeepCoNN模型,但是我跑出来的结果MSE是一直在增加的,不知道是不是我哪里跑错了,作者跑代码的过程中对应的MSE是多少呢?
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Can I ask you why you use drop rate with 1.0??
I am new to tensorflow, and I found that it means you make all your feature goes to zero.
I don't understand why you choose this..
```
with tf.…
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I have read both DeepCoNN and DeepCoNN++ code, as well as the corresponding papers. But I didn't find the attention review pooling part in DeepCoNN++ code. Actually, there's no attention. So is it the…
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Hi chenchong, after reading your project. I noticed this part 'DeepCoNN++', this part is related to the yelp data set. But after I downloaded yelp's data set, I didn't find the same data set as in ur …