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 ...

Use this in-depth Jupyter Notebook vs. PyCharm comparison to learn more about their features and pricing and to find your best fit.

With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models ...

AI Platform Notebooks are configured with the core packages needed for TensorFlow and PyTorch environments. They also have the packages with the latest Nvidia driver for GPU-enabled instances.

Google announced TensorFlow 2.0 is now available for public use. The alpha version of the deep learning library made its debut this spring.

Recommendation: These example notebooks demonstrate how to use NVTabular with TensorFlow, PyTorch, and HugeCTR. Each example provides additional details about the end-to-end workflow, which ...