/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 vote259 views1 answer
How to aggregate multiple columns in pyspark
Python
0 vote262 views1 answer
How to join an array of characters in python
Python
1 vote253 views1 answer
How to do key sensing in python
Python
0 vote263 views1 answer
Scipy.signal lfilter
Python
5 votes271 views2 answers
Group by list python
Python
1 vote281 views1 answer
Python covid data
Python
0 vote267 views1 answer
How to use sin inverse and cos inverse in python
Python
5 votes278 views3 answers
Series change index pandas
Python
0 vote276 views1 answer
Python program to print prime numbers in an interval
Python
0 vote253 views1 answer
Hostname python
Python