/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 vote141 views1 answer
Frequency
Python
0 vote142 views1 answer
Write set to txt python
Python
2 votes137 views1 answer
How to make rich presence discord,py
Python
0 vote131 views2 answers
Python list to string with spaces
Python
0 vote132 views1 answer
Request.build_absolute_uri django
Python
0 vote121 views1 answer
Replace all the empty rows in the column with the value that you have identified
Python
0 vote128 views1 answer
List of imported modules in python
Python
17 votes117 views4 answers
Flask render_template
Python
0 vote130 views1 answer
Check if array is monotonic python
Python
0 vote135 views1 answer
Discord embed add image
Python