  """ Original Model
      Based on the original https://www.reddit.com/r/deepfakes/
      code sample + contribs """
  
  from keras.layers import Conv2D, Dense, Flatten, Input, Reshape
  
  from keras.models import Model as KerasModel
  
  from ._base import ModelBase, logger
  
 
</s> remove from keras.layers import Conv2D, Dense, Flatten, Input, Reshape, SpatialDropout2D
 </s> add from keras.layers import Dense, Flatten, Input, Reshape, SpatialDropout2D </s> remove from keras.layers import Conv2D, Dense, Flatten, Input, Reshape
 </s> add from keras.layers import Dense, Flatten, Input, Reshape </s> remove from keras.layers import Conv2D, Dense, Flatten, Input, Reshape
 </s> add from keras.layers import Dense, Flatten, Input, Reshape </s> remove from keras.layers import Conv2D, Input
 </s> add from keras.layers import Input
from keras.layers import Dense, Flatten, Input, Reshape

  """ Original Model
      Based on the original https://www.reddit.com/r/deepfakes/
      code sample + contribs """
  
from keras.layers import Dense, Flatten, Input, Reshape
  
  from keras.models import Model as KerasModel
  
  from ._base import ModelBase, logger
  
keep keep keep keep replace keep keep keep keep keep
 Add Convolutional Aware Initialization (#795)

* Training: Add Convolutional Aware Initialization config option

* Centralize Conv2D layer for handling initializer

* Add 'is-output' to NNMeta to indicate that network is an output to the Model 
plugins/train/model/original.py