/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

56 votes172 views5 answers
Check python version ubuntu
Python
0 vote187 views5 answers
Pine script to python
Python
-1 vote184 views1 answer
Ipywidgets pip
Python
0 vote184 views1 answer
Python thunks
Python
0 vote172 views1 answer
Python overwrite print on same line
Python
0 vote171 views1 answer
Discord.py how get user input
Python
1 vote173 views1 answer
Issue TypeError: can’t multiply sequence by non-int of type str
Python
0 vote177 views1 answer
Convert pascal annotation to yolo
Python
6 votes169 views2 answers
AttributeError: type object 'Callable' has no attribute '_abc_registry'
Python
0 vote175 views1 answer
Datediff in seconds in pandas
Python