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| author | Logan Bauman <logan_bauman@brown.edu> | 2022-05-07 12:39:17 -0400 |
|---|---|---|
| committer | Logan Bauman <logan_bauman@brown.edu> | 2022-05-07 12:39:17 -0400 |
| commit | c073b01a935900abd8357a3005bbfe8bdce266fc (patch) | |
| tree | bec3adda211c75133ac77915958cf5e8c3dc3e96 | |
| parent | f8f6e5dcaabd34d9f3a53e969c7bcd62e5520465 (diff) | |
hi
| -rw-r--r-- | hyperparameters.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/hyperparameters.py b/hyperparameters.py index f87b92c6..d68e26d1 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 = 4000 +num_epochs = 5000 """ A critical parameter that can dramatically affect whether training @@ -22,4 +22,4 @@ momentum = 0.01 alpha = 1e-2 -beta = 1e1 +beta = 5e1 |