This tutorial walks you through the required steps to train and get predictionsfrom your image classification model in the Google Cloud console.

This tutorial is part of the "Hello custom training" tutorial, which walks youthrough using Vertex AI to train an image classification model andserve predictions using the model. In this tutorial, you useVertex AI'scustom training feature to run a TensorFlow Kerastraining application in one of Vertex AI's prebuilt containerenvironments. This custom training job trains a machine learning (ML) model toclassify images of flowers by their type. After you train the ML model, thetutorial shows you how to create an endpoint and serve predictions from thatendpoint to a web app.

Tutorial pages

This tutorial has several pages:

1. Setting up your project and environment.
2. Training a custom image classification model.
3. Serving predictions from a custom image classification mode.
4. Cleaning up your project.

To complete this tutorial, you can either follow the instructions in thefollowing pages or use the in-console walkthrough tutorial, which is a similartutorial in the Google Cloud console.

In-console walkthrough tutorial

In this tutorial, you'll learn how to build a multi-label image classificationmodel using Google's AutoML technology. This tutorial is available in theGoogle Cloud console.

To follow step-by-step guidance for this task directly in the Google Cloud console, clickGuide me:

Guide me