From 5c6ca764d3b5182be61a14feb4dc4fc94fe5be49 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 3 Apr 2024 11:19:58 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_dnn.py | 21 ++++++++-------------
1 file changed, 8 insertions(+), 13 deletions(-)
diff --git a/modules/deeplearning/icing_dnn.py b/modules/deeplearning/icing_dnn.py
index d3c3c86e..5f9ead8a 100644
--- a/modules/deeplearning/icing_dnn.py
+++ b/modules/deeplearning/icing_dnn.py
@@ -479,27 +479,22 @@ class IcingIntensityDNN:
flat = self.input
n_hidden = self.input.shape[1]
- fac = 6
+ fac = 10
- fc = build_residual_block(flat, drop_rate, fac * n_hidden, activation, 'Residual_Block_1', doDropout=True,
- 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', doDropout=True,
- 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', doDropout=True,
- 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', doDropout=True,
- 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', doDropout=True,
- 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', doDropout=True, 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', doDropout=True, doBatchNorm=True)
fc = tf.keras.layers.Dense(n_hidden, activation=activation)(fc)
--
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