Python tensorflow.python.keras.layers.GlobalAveragePooling2D() Examples

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Example #1
Source Project: image-similarity   Author: ryanfwy   File: model_util.py    License: MIT License 5 votes vote down vote up
def _define_model(output_layer=-1):
        '''Define a pre-trained MobileNet model.

        Args:
            output_layer: the number of layer that output.

        Returns:
            Class of keras model with weights.
        '''
        base_model = MobileNet(weights='imagenet', include_top=False, input_shape=(224, 224, 3))
        output = base_model.layers[output_layer].output
        output = GlobalAveragePooling2D()(output)
        model = Model(inputs=base_model.input, outputs=output)
        return model