Exercise

# Defining data as constants

Throughout this course, we will use `tensorflow`

version 2.3 and will exclusively import the submodules needed to complete each exercise. This will usually be done for you, but you will do it in this exercise by importing `constant`

from `tensorflow`

.

After you have imported `constant`

, you will use it to transform a `numpy`

array, `credit_numpy`

, into a `tensorflow`

constant, `credit_constant`

. This array contains feature columns from a dataset on credit card holders and is previewed in the image below. We will return to this dataset in later chapters.

Note that `tensorflow`

2 allows you to use data as either a `numpy`

array or a `tensorflow`

`constant`

object. Using a `constant`

will ensure that any operations performed with that object are done in `tensorflow`

.

Instructions

**100 XP**

- Import the
`constant`

submodule from the`tensorflow`

module. - Convert the
`credit_numpy`

array into a`constant`

object in`tensorflow`

. Do not set the data type.