snapshot...

modules/deeplearning/icing_fcn.py

@@ -592,7 +592,7 @@ class IcingIntensityFCN:
         # activation = tf.nn.elu
         activation = tf.nn.leaky_relu
 
-        num_filters = len(self.train_params) * 4
+        num_filters = len(self.train_params) * 8
 
         input_2d = self.inputs[0]
 
@@ -731,7 +731,7 @@ class IcingIntensityFCN:
             self.loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False)  # For multi-class
 
         # decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps)
-        initial_learning_rate = 0.0005
+        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)