From e5beaa019b69e6e9861f0c4cd9b25a3fd2dc7e5c Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 24 Sep 2021 09:59:20 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_cnn.py | 16 ++++++++--------
1 file changed, 8 insertions(+), 8 deletions(-)
diff --git a/modules/deeplearning/icing_cnn.py b/modules/deeplearning/icing_cnn.py
index 037d4cd6..c1620f4d 100644
--- a/modules/deeplearning/icing_cnn.py
+++ b/modules/deeplearning/icing_cnn.py
@@ -550,21 +550,21 @@ class IcingIntensityNN:
fac = 2
- fc = build_residual_block(flat, drop_rate, fac*n_hidden, activation, 'Residual_Block_1', doBatchNorm=True)
+ fc = build_residual_block(flat, drop_rate, fac*n_hidden, activation, 'Residual_Block_1', doDropout=True, doBatchNorm=True)
- 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_2', doDropout=True, doBatchNorm=True)
- 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_3', doDropout=True, doBatchNorm=True)
- 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_4', doDropout=True, doBatchNorm=True)
- 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', doDropout=True, doBatchNorm=True)
- fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_6', doBatchNorm=True)
+ fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_6', doDropout=True, doBatchNorm=True)
- # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doBatchNorm=True)
+ # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doDropout=True, doBatchNorm=True)
#
- # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doBatchNorm=True)
+ # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doDropout=True, doBatchNorm=True)
fc = tf.keras.layers.Dense(n_hidden, activation=activation)(fc)
fc = tf.keras.layers.BatchNormalization()(fc)
--
GitLab