AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
Overview
Syllabus
- GSP223
- Overview
- Setup and requirements
- Task 1. Set up AutoML
- Task 2. Upload training images to Cloud Storage
- Task 3. Create a dataset
- Task 4. Inspect images
- Task 5. Train your model
- Task 6. Generate predictions
- Pop Quiz
- Congratulations!
Tags
Related Courses
-
Classify Images of Clouds in the Cloud with AutoML Vision
-
Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
-
Identify Damaged Car Parts with Vertex AutoML Vision
-
Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
-
Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh
-
Identify Damaged Car Parts with Vertex AutoML Vision
