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  3. Introduction to TensorFlow in Python

Exercise

Loss functions in TensorFlow

In this exercise, you will compute the loss using data from the King County housing dataset. You are given a target, price, which is a tensor of house prices, and predictions, which is a tensor of predicted house prices. You will evaluate the loss function and print out the value of the loss.

Instructions 1/2

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  • 1

    Import the keras module from tensorflow. Then, use price and predictions to compute the mean squared error (mse).

  • 2

    Modify your code to compute the mean absolute error (mae), rather than the mean squared error (mse).