This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. Labs are timed and you cannot pause them. ![]() Setup and requirements Before you click the Start Lab button Generating predictions on your trained model. Training a model with AutoML and evaluating its accuracy. Uploading a labeled dataset to Cloud Storage and connecting it to AutoML with a CSV label file. In this lab, you upload images to Cloud Storage and use them to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.). Once you upload images to the AutoML UI, you can train a model that will be immediately available on Google Cloud for generating predictions via an easy to use REST API. AutoML helps developers with limited ML expertise train high quality image recognition models.
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