Scaling notebooks for deep learning workloads - Luciano Resende (IBM Watson)

Описание к видео Scaling notebooks for deep learning workloads - Luciano Resende (IBM Watson)

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.

Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi

Follow O'Reilly on:
Twitter:   / oreillymedia  
Facebook:   / oreilly  
Instagram:   / oreillymedia  
LinkedIn:   / 8459  

Комментарии

Информация по комментариям в разработке