From 56f3657c1c07eaa2b617ebf5b2d7435d7f97faa7 Mon Sep 17 00:00:00 2001
From: leufen1 <l.leufen@fz-juelich.de>
Date: Fri, 12 Mar 2021 15:24:49 +0100
Subject: [PATCH] changed dense layer
---
mlair/model_modules/convolutional_networks.py | 5 ++---
1 file changed, 2 insertions(+), 3 deletions(-)
diff --git a/mlair/model_modules/convolutional_networks.py b/mlair/model_modules/convolutional_networks.py
index 329d1952..c4a10990 100644
--- a/mlair/model_modules/convolutional_networks.py
+++ b/mlair/model_modules/convolutional_networks.py
@@ -82,7 +82,6 @@ class CNN(AbstractModelClass):
Build the model.
"""
x_input = keras.layers.Input(shape=self._input_shape)
- kernel = (self.kernel_size, 1)
x_in = keras.layers.Conv2D(filters=16, kernel_size=(73, 1),
kernel_initializer=self.kernel_initializer,
kernel_regularizer=self.kernel_regularizer)(x_input)
@@ -97,10 +96,10 @@ class CNN(AbstractModelClass):
kernel_regularizer=self.kernel_regularizer)(x_in)
x_in = self.activation()(x_in)
x_in = keras.layers.Flatten()(x_in)
- x_in = keras.layers.Dense(64, kernel_initializer=self.kernel_initializer,
+ x_in = keras.layers.Dense(128, kernel_initializer=self.kernel_initializer,
kernel_regularizer=self.kernel_regularizer)(x_in)
x_in = self.activation()(x_in)
- x_in = keras.layers.Dense(16, kernel_initializer=self.kernel_initializer,
+ x_in = keras.layers.Dense(32, kernel_initializer=self.kernel_initializer,
kernel_regularizer=self.kernel_regularizer)(x_in)
x_in = self.activation()(x_in)
x_in = keras.layers.Dense(self._output_shape)(x_in)
--
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