how to use rmse as loss function in keras

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1from keras import backend as K
2
3def root_mean_squared_error(y_true, y_pred):
4        return K.sqrt(K.mean(K.square(y_pred - y_true), axis=-1)) 
5
6  model.compile(optimizer = "rmsprop", loss = root_mean_squared_error, 
7              metrics =["accuracy"])

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