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