/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

2 votes160 views1 answer
Flask minimul app
Python
0 vote165 views1 answer
Matplotlib remove ticks and lines
Python
0 vote168 views1 answer
Minio python remove an object
Python
0 vote221 views1 answer
Django Abstract base classe
Python Django
0 vote214 views1 answer
Python linked list insert
Python
0 vote190 views1 answer
Relative import package/module __init__.py
Python
1 vote224 views1 answer
Hide particular attribute in django admin
Python Django
0 vote163 views1 answer
Django snippet 800
Python
1 vote172 views1 answer
Python read entire file as string
Python
6 votes212 views5 answers
Format in python
Python