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def create_deep_feature_extractor(input_dim, output_dim): input_layer = Input(shape=(input_dim,)) x = Dense(64, activation='relu')(input_layer) x = Dense(32, activation='relu')(x) output = Dense(output_dim)(x) model = Model(inputs=input_layer, outputs=output) model.compile(optimizer='adam', loss='mean_squared_error') return model

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