From 8d1a3525318ca0ae3a18e504475ba7e178b75796 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 20 Apr 2021 09:35:42 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing.py | 9 +++------
1 file changed, 3 insertions(+), 6 deletions(-)
diff --git a/modules/deeplearning/icing.py b/modules/deeplearning/icing.py
index 928da2e7..24471ddb 100644
--- a/modules/deeplearning/icing.py
+++ b/modules/deeplearning/icing.py
@@ -13,18 +13,15 @@ from icing.pirep_goes import split_data, normalize
LOG_DEVICE_PLACEMENT = False
CACHE_DATA_IN_MEM = True
-CACHE_GFS = True
PROC_BATCH_SIZE = 60
PROC_BATCH_BUFFER_SIZE = 50000
NumLabels = 1
-BATCH_SIZE = 256
+BATCH_SIZE = 512
NUM_EPOCHS = 200
-
TRACK_MOVING_AVERAGE = False
-DAY_NIGHT = 'ANY'
TRIPLET = False
CONV3D = False
@@ -159,7 +156,7 @@ class IcingIntensityNN:
self.inputs.append(self.X_img)
#self.inputs.append(self.X_prof)
- self.DISK_CACHE = True
+ self.DISK_CACHE = False
if datapath is not None:
self.DISK_CACHE = False
@@ -380,7 +377,7 @@ class IcingIntensityNN:
self.logits = logits
def build_training(self):
- self.loss = tf.keras.losses.BinaryCrossentropy(from_logits=True) # for two-class only
+ self.loss = tf.keras.losses.BinaryCrossentropy(from_logits=False) # for two-class only
#self.loss = tf.keras.losses.SparseCategoricalCrossentropy() # For multi-class
# decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps)
--
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