 An additional reconstruction loss encourages entities to encode their inputs' instantiation parameters.The final activity vector is then used to reconstruct the input image via a CNN decoder consisting of 3 fully connected layers.The reconstruction minimizes the sum of squared differences between the outputs of the logistic units and the pixel intensities.