/Python/How to use rmse as loss function in keras

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"])

Source: stackoverflow.com

Similar codes

0 vote261 views1 answer
Python catch int conversion error
Python
0 vote239 views1 answer
Import APIview
Python
60 votes273 views6 answers
Python Class Example
Python
0 vote238 views1 answer
Which function is used to read single line from file?
Python
0 vote268 views1 answer
Python array of last n months
Python
1 vote233 views1 answer
Wonsan
Python
84 votes260 views6 answers
Sort dataframe by column
Python
0 vote265 views1 answer
Print(1) in python
Python
2 votes260 views1 answer
Python two string equal
Python
0 vote265 views1 answer
Count different values in list python
Python