From 7f1ca3abaf8370e4143a5f32eb42f99192b89233 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 12 May 2023 13:25:18 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn_abi.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 0cfce99e..b25cab83 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -486,10 +486,10 @@ class SRCNN:
# self.loss = tf.keras.losses.MeanAbsoluteError() # Regression
# 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
steps_per_epoch = int(self.num_data_samples/BATCH_SIZE) # one epoch
- decay_steps = int(steps_per_epoch) * 4
+ decay_steps = int(steps_per_epoch) * 1
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)
--
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