Fixed convolutional model

Author: Garrett Brown

Recon3DModels.py

@@ -123,6 +123,5 @@ def Build(self):
         decoded = Conv3D(1, (3, 3), activation='sigmoid', padding='same')(z)
 
         autoencoder = Model(inputs=[input1, input2], outputs=decoded)
-        autoencoder.compile(optimizer='adadelta', loss='binary_crossentropy')
 
-        self.Model = Model(input, modelT)
+        self.Model = Model(input, autoencoder)