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-rw-r--r--hyperparameters.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/hyperparameters.py b/hyperparameters.py
index a15d04ac..75528742 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,17 +9,17 @@ 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 = 10000
+num_epochs = 500
"""
A critical parameter that can dramatically affect whether training
succeeds or fails. The value for this depends significantly on which
optimizer is used. Refer to the default learning rate parameter
"""
-learning_rate = .002
+learning_rate = 1e2
momentum = 0.01
-alpha = 1e-2
+alpha = 1
-beta = 5e1
+beta = 100