Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

Measuring regression model performance in CNTK

Now that we've seen how to validate regression models in theory, let's take a look at how to use the different metrics we just discussed in combination with CNTK. For this section, we'll be working with a model that predicts miles per gallon for cars using the following code:

from cntk import default_options, input_variablefrom cntk.layers import Dense, Sequentialfrom cntk.ops import reluwith default_options(activation=relu):    model = Sequential([        Dense(64),        Dense(64),        Dense(1,activation=None)    ])    features = input_variable(X.shape[1])target = input_variable(1)z = model(features)

Follow the given steps:

1. First, import the required components from the cntk package
2. Next, define a default activation ...