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| author | Logan Bauman <logan_bauman@brown.edu> | 2022-05-07 13:21:04 -0400 |
|---|---|---|
| committer | Logan Bauman <logan_bauman@brown.edu> | 2022-05-07 13:21:04 -0400 |
| commit | 5dc4bbaf666f27f0f19e3cff0991bd66071182f0 (patch) | |
| tree | 39ec3915c7f8e4d862bbe85360f7d14e0be35969 /hyperparameters.py | |
| parent | 18f253ee8c94508761dd2d0907bcfb20f9b146b6 (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 e1b8ca75..80141fcf 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 = 10000 +num_epochs = 20000 """ A critical parameter that can dramatically affect whether training |