From 29465bab01ada68f0e58a1de657cc1aeb2e421b4 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 20 Apr 2021 17:05:00 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing.py | 16 +++++++++-------
1 file changed, 9 insertions(+), 7 deletions(-)
diff --git a/modules/deeplearning/icing.py b/modules/deeplearning/icing.py
index 4c2db130..37947e12 100644
--- a/modules/deeplearning/icing.py
+++ b/modules/deeplearning/icing.py
@@ -350,19 +350,21 @@ class IcingIntensityNN:
fac = 1
- fc = build_residual_block(flat, drop_rate, fac*n_hidden, activation, 'Residual_Block_1', doBatchNorm=False)
+ fc = build_residual_block(flat, drop_rate, fac*n_hidden, activation, 'Residual_Block_1', doBatchNorm=True)
- fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_2', doBatchNorm=False)
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_2', doBatchNorm=True)
- fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_3', doBatchNorm=False)
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_3', doBatchNorm=True)
- fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_4', doBatchNorm=False)
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_4', doBatchNorm=True)
- fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_5', doBatchNorm=False)
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_5', doBatchNorm=True)
- fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_4', doBatchNorm=False)
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_4', doBatchNorm=True)
- fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_5', doBatchNorm=False)
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_5', doBatchNorm=True)
+
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_5', doBatchNorm=True)
fc = tf.keras.layers.Dense(n_hidden, activation=activation)(fc)
fc = tf.keras.layers.BatchNormalization()(fc)
--
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