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| author | Logan Bauman <logan_bauman@brown.edu> | 2022-05-04 23:51:19 -0400 |
|---|---|---|
| committer | Logan Bauman <logan_bauman@brown.edu> | 2022-05-04 23:51:19 -0400 |
| commit | 34da38f64b51cac95475393798efe76e9f3c8aec (patch) | |
| tree | 773391e758c32236c0e8b912d5fec36c2c6d9a18 /hyperparameters.py | |
| parent | 98be0e58a000880d7e05e79f977452642eab54c6 (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 a0068dd1..71c5325a 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 = 100 +num_epochs = 2000 """ A critical parameter that can dramatically affect whether training |