[New post] Python code snippet – How to use rmse as loss function in keras?

Subash Chandran posted: "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 =[&quo" New post on Poopcode Python code snippet – How to use rmse as loss function in keras? by Subash Chandran 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"]) Read more of this post Subash Chandran | October 21, 2021 at 7:56 am | Tags: how to use rmse as loss function in keras, rmse in keras | Categories: Snippets | URL: https://wp.me/pb9kQA-3VW Comment    See all comments Unsubscribe to no longer receive posts from Poopcode. Change your email settings at Manage Subscriptions. Trouble clicking? Copy and paste this URL into your browser: https://poopcode.com/python-code-snippet-how-to-use-rmse-as-loss-function-in-keras/