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authorLogan Bauman <logan_bauman@brown.edu>2022-05-05 00:04:40 -0400
committerLogan Bauman <logan_bauman@brown.edu>2022-05-05 00:04:40 -0400
commit8ff6cd542e4f9594c73812b7db263bec2f2a1df7 (patch)
tree71ea7eafb601aa85632ce018fd4084cbede01811 /hyperparameters.py
parentac7f2f3369ba987b9df6856a639d27ec88bdd774 (diff)
hi
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-rw-r--r--hyperparameters.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/hyperparameters.py b/hyperparameters.py
index 71c5325a..801d1ce9 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 = 2000
+num_epochs = 1000
"""
A critical parameter that can dramatically affect whether training