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Commit ad02c90e authored by tomrink's avatar tomrink
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modules/deeplearning/icing_cnn.py
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...@@ -394,7 +394,7 @@ class IcingIntensityNN: ...@@ -394,7 +394,7 @@ class IcingIntensityNN:
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 / 2) # decay_steps = int(steps_per_epoch / 2)
decay_steps = 4 * steps_per_epoch decay_steps = 8 * steps_per_epoch
print('initial rate, decay rate, steps/epoch, decay steps: ', initial_learning_rate, decay_rate, steps_per_epoch, decay_steps) print('initial rate, decay rate, steps/epoch, decay steps: ', initial_learning_rate, decay_rate, steps_per_epoch, decay_steps)
self.learningRateSchedule = tf.keras.optimizers.schedules.ExponentialDecay(initial_learning_rate, decay_steps, decay_rate) self.learningRateSchedule = tf.keras.optimizers.schedules.ExponentialDecay(initial_learning_rate, decay_steps, decay_rate)
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