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Commit 9f130131 authored by tomrink's avatar tomrink
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parent 0cefa481
Branches sphinx
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modules/deeplearning/icing_fcn.py
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...@@ -548,7 +548,7 @@ class IcingIntensityFCN: ...@@ -548,7 +548,7 @@ class IcingIntensityFCN:
activation = tf.nn.leaky_relu activation = tf.nn.leaky_relu
momentum = 0.99 momentum = 0.99
num_filters = len(self.train_params) * 4 num_filters = len(self.train_params) * 10
input_2d = self.inputs[0] input_2d = self.inputs[0]
conv = tf.keras.layers.Conv2D(num_filters, kernel_size=5, strides=1, padding=padding, activation=None)(input_2d) conv = tf.keras.layers.Conv2D(num_filters, kernel_size=5, strides=1, padding=padding, activation=None)(input_2d)
...@@ -637,6 +637,10 @@ class IcingIntensityFCN: ...@@ -637,6 +637,10 @@ class IcingIntensityFCN:
conv = build_residual_block_1x1(conv, num_filters, activation, 'Residual_Block_3', padding=padding) conv = build_residual_block_1x1(conv, num_filters, activation, 'Residual_Block_3', padding=padding)
conv = build_residual_block_1x1(conv, num_filters, activation, 'Residual_Block_4', padding=padding)
conv = build_residual_block_1x1(conv, num_filters, activation, 'Residual_Block_5', padding=padding)
print(conv.shape) print(conv.shape)
if NumClasses == 2: if NumClasses == 2:
......
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