  
  from keras import backend as K
  from keras.optimizers import Optimizer
  
  
  class AdaBelief(Optimizer):
      """AdaBelief optimizer.
 
</s> remove         an optimizer. The same optimizer can be reinstantiated later (without any saved state) from
        this configuration.
 </s> add         an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration. </s> remove         an optimizer. The same optimizer can be reinstantiated later (without any saved state) from
        this configuration.
 </s> add         an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration.
from keras.utils import get_custom_objects
  
  from keras import backend as K
  from keras.optimizers import Optimizer
from keras.utils import get_custom_objects
  
  
  class AdaBelief(Optimizer):
      """AdaBelief optimizer.
keep keep add keep keep keep keep
 Update Travis Tests for optimizers 
lib/model/optimizers_plaid.py