39
93%

Ran 12 Mar 2017 06:51AM UTC

Jobs 3

Files 4

Run time 67min

Badge

Embed ▾

pending completion

Build # 39

Build Type

push

travis-ci

Committed by

ubergarm

Commit Message

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!

Run Details

242 of 261 relevant lines covered (92.72%)

2.78 hits per line

Jobs

ID	Job ID	Ran	Coverage
2	39.2	12 Mar 2017 07:57AM UTC	92.72	Travis Job 39.2
3	39.3	12 Mar 2017 07:58AM UTC	92.72	Travis Job 39.3
5	39.5	12 Mar 2017 07:55AM UTC	92.72	Travis Job 39.5

Source Files on build 39

Detailed source file information is not available for this build.

hugovk / char-rnn-tensorflow / 39
93%

README BADGES
x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 39

hugovk / char-rnn-tensorflow / 39 93%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 39

hugovk / char-rnn-tensorflow / 39
93%

README BADGES
x