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Commit 7d2ad818 authored by tomrink's avatar tomrink
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modules/deeplearning/icing_only_fcn.py
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...@@ -20,8 +20,8 @@ if NumClasses == 2: ...@@ -20,8 +20,8 @@ if NumClasses == 2:
else: else:
NumLogits = NumClasses NumLogits = NumClasses
BATCH_SIZE = 128 BATCH_SIZE = 64
NUM_EPOCHS = 50 NUM_EPOCHS = 60
TRACK_MOVING_AVERAGE = False TRACK_MOVING_AVERAGE = False
EARLY_STOP = True EARLY_STOP = True
...@@ -721,7 +721,7 @@ class IcingIntensityFCN: ...@@ -721,7 +721,7 @@ class IcingIntensityFCN:
self.loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False) # For multi-class self.loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False) # For multi-class
# decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps) # decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps)
initial_learning_rate = 0.002 initial_learning_rate = 0.001
decay_rate = 0.95 decay_rate = 0.95
steps_per_epoch = int(self.num_data_samples/BATCH_SIZE) # one epoch steps_per_epoch = int(self.num_data_samples/BATCH_SIZE) # one epoch
decay_steps = int(steps_per_epoch) decay_steps = int(steps_per_epoch)
......
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