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authorLogan Bauman <logan_bauman@brown.edu>2022-05-06 23:50:58 -0400
committerLogan Bauman <logan_bauman@brown.edu>2022-05-06 23:50:58 -0400
commitd758fd450ed2d6ba0086fe3c2cb355829af1b828 (patch)
tree2bf405f39c6614a0c8da4292197f5ad32fa4ee5d
parenteab2b383fb41c9bf9b5c2603b227027d8793bfd8 (diff)
hi
-rw-r--r--hyperparameters.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/hyperparameters.py b/hyperparameters.py
index 70ad7577..73f4b497 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 = 3000
+num_epochs = 5000
"""
A critical parameter that can dramatically affect whether training