how to use rmse as loss function in keras
from keras import backend as K
def root_mean_squared_error(y_true, y_pred):
return K.sqrt(K.mean(K.square(y_pred - y_true), axis=-1))
model.compile(optimizer = "rmsprop", loss = root_mean_squared_error,
metrics =["accuracy"])Copyright © 2021 Codeinu
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