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  1. # fit the model
  2. m3.fit(X_train, y_train,
  3.        epochs=50,
  4.        batch_size=256,
  5.        verbose=0)
  6.  
  7. # evaluate the model
  8. m3.evaluate(X_train, y_train, batch_size=256)
  9.  
  10. # fit on test data
  11. m3.fit(X_test, y_test,
  12.        epochs=50,
  13.        batch_size=256,
  14.        verbose=0)
  15.  
  16. # evaluate the model
  17. m3.evaluate(X_test, y_test, batch_size=256)
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