Using TensorFlow Enterprise with AI Platform Notebooks

This page describes how to get started using TensorFlow Enterprise with AI Platform Notebooks.

In this example, you create a TensorFlow Enterprise instance of AI Platform Notebooks, open a JupyterLab notebook, and run a classification tutorial on using neural networks with Keras.

Before you begin

Before you can use AI Platform Notebooks, you must have a Google Cloud project and enable the AI Platform Notebooks API for that project.
  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. In the Google Cloud Console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  3. Verifica che la fatturazione sia attivata per il tuo progetto.

    scopri come attivare la fatturazione

  4. Enable the AI Platform Notebooks API.

    Enable the API

Create an AI Platform Notebooks instance

To create a default TensorFlow Enterprise 1.15 AI Platform Notebooks instance, complete the following steps. To specify properties for your instance, see Create an AI Platform Notebooks instance with specific properties or go to to go directly to the Advanced options instance creation dialog box.

  1. Go to the AI Platform Notebooks page in the Google Cloud Console.

    Go to the AI Platform Notebooks page

  2. Click New Instance, select TensorFlow Enterprise 1.15, and then select Without GPUs .

  3. Click Create.

  4. AI Platform Notebooks creates a new instance based on your selected framework. An Open JupyterLab link becomes active when it's ready to use.

Open the notebook

Complete these steps to open a notebook instance:
  1. On the AI Platform Notebooks page in the Google Cloud Console, click Open JupyterLab to open the notebook.

  2. AI Platform Notebooks opens your notebook.

Run a classification tutorial in your notebook instance

Complete these steps to try out your new notebook by running a classification tutorial:

  1. In your JupyterLab notebook, on the left, double-click the tutorials folder to open it, and navigate to and open tutorials/keras/basic_classification.ipynb.

  2. Click the run button to run cells of the tutorial.

What's next