/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

-1 vote169 views1 answer
How to write pretty xml to a file python
Python
0 vote213 views1 answer
Django float validator
Python Django
0 vote189 views1 answer
Keep only one duplicate in pandas
Python
0 vote172 views1 answer
Sns how to change color if negative or positive
Python
0 vote208 views1 answer
Pretty size python
Python
16 votes172 views2 answers
Python reimport module
Python
9 votes179 views6 answers
Pattern program in python
Python
0 vote210 views1 answer
Python search a string in another string get last result
Python
0 vote205 views1 answer
Python Print Variable Using the String Formatting with the help of % character
Python
5 votes175 views2 answers
Django admin password reset
Python