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| author | Logan Bauman <logan_bauman@brown.edu> | 2022-05-06 23:41:18 -0400 |
|---|---|---|
| committer | Logan Bauman <logan_bauman@brown.edu> | 2022-05-06 23:41:18 -0400 |
| commit | 1da66023ea97b5c036a97a319843cea7c334af93 (patch) | |
| tree | 70a3f52436a83ba68e5a7bf4e5241b5598a1a9a2 /hyperparameters.py | |
| parent | d6d67f7f91bdccf47b72bc2708bb84b1753fc9ec (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 460543dc..70ad7577 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 = 1000 +num_epochs = 3000 """ A critical parameter that can dramatically affect whether training |