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| author | Logan Bauman <logan_bauman@brown.edu> | 2022-05-07 12:53:27 -0400 |
|---|---|---|
| committer | Logan Bauman <logan_bauman@brown.edu> | 2022-05-07 12:53:27 -0400 |
| commit | 6c68b1b36e0858b96656551695f62d2b556529ca (patch) | |
| tree | c5f4053dc7c820ca9cb612b1d6b2b50c16cef817 /hyperparameters.py | |
| parent | 09d09ef0e726ea505fc5cfd0177e4eae27eb809e (diff) | |
hi
Diffstat (limited to 'hyperparameters.py')
| -rw-r--r-- | hyperparameters.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/hyperparameters.py b/hyperparameters.py index d68e26d1..e1b8ca75 100644 --- a/hyperparameters.py +++ b/hyperparameters.py @@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you might need to increase this. Likewise if you add regularization that slows training. """ -num_epochs = 5000 +num_epochs = 10000 """ A critical parameter that can dramatically affect whether training |