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Exercise

Defining Estimators

In the previous exercise, you defined a list of feature columns, feature_list, and a data input function, input_fn(). In this exercise, you will build on that work by defining an estimator that makes use of input data.

Instructions 1/2
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  • 1

    Use a deep neural network regressor with 2 nodes in both the first and second hidden layers and 1 training step.

    • 2

      Modify the code to use a LinearRegressor(), remove the hidden_units, and set the number of steps to 2.