Using TensorFlow Enterprise with Notebooks

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

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

Before you begin

Before you can use Notebooks, you must have a Google Cloud project and enable the Notebooks API for that project.
  1. Accede a tu cuenta de Google Cloud. Si eres nuevo en Google Cloud, crea una cuenta para evaluar el rendimiento de nuestros productos en situaciones reales. Los clientes nuevos también obtienen $300 en créditos gratuitos para ejecutar, probar y, además, implementar cargas de trabajo.
  2. En la página del selector de proyectos de Google Cloud Console, selecciona o crea un proyecto de Google Cloud.

    Ir al selector de proyecto

  3. Comprueba que la facturación esté habilitada en tu proyecto.

    Descubre cómo puedes habilitar la facturación

  4. Habilita las Notebooks API.

    Habilita la API

Create a Notebooks instance

To create a default TensorFlow Enterprise 2.3 Notebooks instance, complete the following steps. To specify properties for your instance, see Create a Notebooks instance with specific properties or go to notebook.new to go directly to the Advanced options instance creation dialog box.

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

    Go to the Notebooks page

  2. Click New Instance, select TensorFlow Enterprise 2.3, and then select Without GPUs .

  3. Click Create.

  4. 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 Notebooks instance:
  1. On the Notebooks page in the Google Cloud Console, click Open JupyterLab to open the notebook.

  2. 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