Regression metrics

In Keras, we can see the following few important metrics:

• Mean Squared Error: mean_squared_error, MSE, or mse
• Mean Absolute Error: mean_absolute_error, MAE, or mae
• Mean Absolute Percentage Error: mean_absolute_percentage_error, MAPE, or mape
• Cosine Proximity: cosine_proximity, cosine

In Keras, you can specify the metric you are optimizing for, the loss, only after a model is already instantiated. We will see later in the book how to choose the metrics we are interested in.