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 # MoCoGAN: Decomposing Motion and Content for Video Generation
 A tensorlayer implementation of Motion Content Generative Adversarial Network
 
-models ---- the weights files of the 4 models  
+Files:   
 new.py ---- the model definition code, which the generator_I model is defined by static model (work in tensorlayer2.1.1)  
 train_new.py ---- training code that match the model definitions in new.py  
+models ---- the saved weights of four models in MoCoGAN after training
+
+p.s. the model_tl.py and train_tl.py are codes whith the generator_I model was written in dynamic model, but it didn't work in tensorlayer2.1.1