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hugovk / char-rnn-tensorflow / 39
93%

Build:
DEFAULT BRANCH: master
Ran 12 Mar 2017 06:51AM UTC
Jobs 3
Files 4
Run time 67min
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Split dropout into input and output parameters

Usage example:
```
python train.py --input_keep_prob=0.8 --output_keep_prob=0.5
```

Useing dropout will likely slow down training and
may not prevent overfitting. For more details read:
https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf

Any code review here would be welcome!

242 of 261 relevant lines covered (92.72%)

2.78 hits per line

Jobs
ID Job ID Ran Files Coverage
2 39.2 12 Mar 2017 07:57AM UTC 0
92.72
Travis Job 39.2
3 39.3 12 Mar 2017 07:58AM UTC 0
92.72
Travis Job 39.3
5 39.5 12 Mar 2017 07:55AM UTC 0
92.72
Travis Job 39.5
Source Files on build 39
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