Type MeanSquaredError
Namespace tensorflow.keras.losses
Parent LossFunctionWrapper
Interfaces IMeanSquaredError
Computes the mean of squares of errors between labels and predictions. `loss = square(y_true - y_pred)` Usage:
Usage with the `compile` API:
Show Example
mse = tf.keras.losses.MeanSquaredError() loss = mse([0., 0., 1., 1.], [1., 1., 1., 0.]) print('Loss: ', loss.numpy()) # Loss: 0.75