Sponsored sessions

Luciano Resende outlines a pattern for building deep learning models using the Jupyter Notebook's interactive development in commodity hardware and leveraging platforms and services such as Fabric for Deep Learning (FfDL) for cost-effective full dataset training of deep learning models. Read more.

Chakri Cherukuri offers an overview of the interactive widget ecosystem available in the Jupyter notebook and illustrates how Jupyter widgets can be used to build rich visualizations of machine learning models. Along the way, Chakri walks you through algorithms like regression, clustering, and optimization and shares a wizard for building and training deep learning models with diagnostic plots. Read more.