def __init__(self,sae,discriminator):
_data = Input(shape=(sae.parameters['N'],))
_data2 = Reshape((sae.parameters['N'],1))(_data)
_categorical = wrap(_data,K.concatenate([_data2, 1-_data2],-1),name="categorical")
_images = sae.decoder(_categorical)
_features = sae.features(_images)
_results = discriminator.net(_features)
m = Model(_data, _results)
self.model = m
# action autoencoder ################################################################
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