/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

3 votes251 views3 answers
Car in programming python
Python
0 vote197 views1 answer
Find the median of input number in a list and print
Python
1 vote200 views1 answer
Emacs region indent python
Python
0 vote201 views2 answers
Python stopwords not defined
Python
0 vote209 views1 answer
Pandas check if any of the values in one column exist in another
Python
0 vote223 views1 answer
Pandas rename columns whitespace with underscore
Python
1 vote205 views2 answers
Num1 = int(input('Enter The First No: ')) num2 = int(input('Enter The Second No: ')) print("Answer: "num1+num2)
Python
2 votes200 views1 answer
Capture output of os.system in python
Python
0 vote210 views2 answers
Print current line number python
Python
0 vote227 views1 answer
Change my python working directory
Python