Configuring cloud environments for TensorFlow Enterprise

Assuming you have a Google Cloud account already set up with a billing method, before you can start using TensorFlow Enterprise, there are some one-time setup steps that you must complete in Google Cloud. This setup consists of the following steps:

1. Create a cloud project and enable billing.
2. Create a Google Cloud Storage bucket.
3. Enable the necessary APIs.

The following are some quick instructions for these steps.

Setting up a cloud environment

Now we are going to take a look at what we need to set up in Google Cloud before we can start using TensorFlow Enterprise. These setups are needed so that essential Google Cloud services can integrate seamlessly into the user tenant. For example, the project ID is used to enable resource creation credentials and access for different services when working with data in the TensorFlow workflow. And by virtue of the project ID, you can read and write data into your...