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| author | Joakim Rishaug <Joakimrishaug@gmail.com> | 2017-10-29 13:48:55 +0100 |
|---|---|---|
| committer | Piotr Kozakowski <kozak000@gmail.com> | 2017-10-29 13:54:39 +0100 |
| commit | bfbadd23cd75a9ab3f837ec890f4c1f78388d85f (patch) | |
| tree | 2b4e777d96c864ff0f57afd9f4b8b7e3733a54f5 | |
| parent | 260da93a5c250e3231f59a4ce2747e2d6e215ada (diff) | |
fix typo in readme
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -23,7 +23,7 @@ You can also prepare a dataset yourself. It should be a directory in `datasets/` ## Training -To train the model you need to run `train.py`. All model hyperparameters are settable in the command line. Most hyperparameters have sensible default values, so you don't need to provide all od them. Run `python train.py -h` for details. To train on the `piano` dataset using the best hyperparameters we've found, run: +To train the model you need to run `train.py`. All model hyperparameters are settable in the command line. Most hyperparameters have sensible default values, so you don't need to provide all of them. Run `python train.py -h` for details. To train on the `piano` dataset using the best hyperparameters we've found, run: ``` python train.py --exp TEST --frame_sizes 16 4 --n_rnn 2 --dataset piano |
