AI Hub - bobbae/gcp GitHub Wiki
AI Hub offers a collection of components for developers and data scientists building artificial intelligence (AI) systems. You can use the AI Hub to:
- Find, deploy, and use Kubeflow pipelines and components.
- Explore code and learn in interactive Jupyter notebooks.
- Explore and reuse Tensorflow modules.
- Explore, deploy, and use trained models.
- Use prepackaged virtual machine (VM) images to quickly set up your AI environment.
- Share AI components with your colleagues.
https://cloud.google.com/ai-hub/docs
Quickstart for using public assets
The example notebook guides you through the process of training two TensorFlow image classification models using the MNIST dataset.
Quickstart for uploading assets
You can share AI assets within your organization by uploading them to your organization's collection of assets on AI Hub. Colleagues in your organization can then find, deploy, and use those assets.
AI Hub Jupyter Notebooks in AI Platform
Jupyter Notebooks from AI Hub can be opened in AI Platform Notebooks.
Here is an example: Introduction to Neural Networks on AI Hub