Among the Jupyter extensions is the ability to “decompose” different AI development tasks into different notebooks, allowing each to use different frameworks such as TensorFlow for deep learning ...

The Jupyter notebook initial web page, showing a directory. Drop down the New menu at the top right to pick a kernel. ... Further, Keras/TensorFlow has a larger ecosystem than Gluon/MXNet.

The catalog has a collection of models based on popular frameworks such as Tensorflow, PyTorch, Keras, XGBoost and Scikit-learn. ... Jupyter Notebooks, or Google’s own AI APIs.

Hundreds of Jupyter Notebooks for the most popular AI use-cases. One click to run NGC Jupyter Notebooks on a Google Cloud Vertex AI Workbench. Automated setup with optimal configuration, preloaded ...

Google open source machine learning library TensorFlow 2.0 is now available for public use, the company announced today. The alpha version of TensorFlow 2.0 was first made available this spring at ...