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| author | Logan Bauman <logan_bauman@brown.edu> | 2022-05-05 00:09:36 -0400 |
|---|---|---|
| committer | Logan Bauman <logan_bauman@brown.edu> | 2022-05-05 00:09:36 -0400 |
| commit | b203623f4723d5c2ccf9146b393a04650cb1c3d0 (patch) | |
| tree | 4159627f260b9b44708a9226deef923cb5063179 /hyperparameters.py | |
| parent | 8ff6cd542e4f9594c73812b7db263bec2f2a1df7 (diff) | |
mega
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 801d1ce9..40120a53 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 = 10000 """ A critical parameter that can dramatically affect whether training |