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| author | Matt Cooper <matthew_cooper@brown.edu> | 2016-08-12 19:48:52 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-08-12 19:48:52 -0400 |
| commit | a1e33249566a795689189749a56138b85e713d99 (patch) | |
| tree | 46cd43fe42102e432c76f106d89ee50506516887 /README.md | |
| parent | 54bd95e24253a21856f04796ef6699fd858bf0b4 (diff) | |
Update README.md
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -58,7 +58,7 @@ Using the error measurements outlined in the paper (Peak Signal to Noise Ratio a ``` - This can take a few hours to complete, depending on the number of clips you want. -4. Train: +4. Train/Test: - If you want to plug-and-play with the pacman dataset, you can [download my trained models here](https://drive.google.com/open?id=0Byf787GZQ7KvR2JvMUNIZnFlbm8). Load them using the `-l` command described below. - Train and test your networks by running `python avg_runner.py` from the `Code/` directory, with the following options: ``` |
