From fcba51cb9adeb06cb4b548cb10fd264db6aeff83 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 4 Apr 2022 13:21:59 -0500
Subject: [PATCH] minor
---
modules/deeplearning/icing_fcn.py | 35 -------------------------------
1 file changed, 35 deletions(-)
diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index 4b4e698e..c5e39c86 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -530,41 +530,6 @@ class IcingIntensityFCN:
self.get_evaluate_dataset(idxs)
- def build_1d_cnn(self):
- print('build_1d_cnn')
- # padding = 'VALID'
- padding = 'SAME'
-
- # activation = tf.nn.relu
- # activation = tf.nn.elu
- activation = tf.nn.leaky_relu
-
- num_filters = 6
-
- conv = tf.keras.layers.Conv1D(num_filters, 5, strides=1, padding=padding)(self.inputs[1])
- conv = tf.keras.layers.MaxPool1D(padding=padding)(conv)
- print(conv)
-
- num_filters *= 2
- conv = tf.keras.layers.Conv1D(num_filters, 3, strides=1, padding=padding)(conv)
- conv = tf.keras.layers.MaxPool1D(padding=padding)(conv)
- print(conv)
-
- num_filters *= 2
- conv = tf.keras.layers.Conv1D(num_filters, 3, strides=1, padding=padding)(conv)
- conv = tf.keras.layers.MaxPool1D(padding=padding)(conv)
- print(conv)
-
- num_filters *= 2
- conv = tf.keras.layers.Conv1D(num_filters, 3, strides=1, padding=padding)(conv)
- conv = tf.keras.layers.MaxPool1D(padding=padding)(conv)
- print(conv)
-
- flat = tf.keras.layers.Flatten()(conv)
- print(flat)
-
- return flat
-
def build_cnn(self):
print('build_cnn')
# padding = "VALID"
--
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