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README.md

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@@ -58,14 +58,15 @@ from keras import optimizers
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model = models.Sequential()
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model.add(complexnn.conv.ComplexConv2D(32, (3, 3), activation='modrelu', padding='same', input_shape=input_shape))
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model.add(complexnn.conv.ComplexConv2D(32, (3, 3), activation='relu', padding='same', input_shape=(28, 28, 2)))
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model.add(complexnn.bn.ComplexBatchNormalization())
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model.add(layers.MaxPooling2D((2, 2), padding='same'))
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model.compile(optimizer=optimizers.Adam(), loss='mse')
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```
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An example working implementation of an autoencoder can be found [here](https://github.com/JesperDramsch/Complex-CNN-Seismic/).
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Citation
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