File:A Social Security Card (Shanghai Electronic Card of Student Status) with another National Resident's Health Card.jpg - Wikimedia Commons
×
Eventil - Find Tech Events
Official mobile app
FREE - In Google Play
View
×
Eventil
Official mobile app
Of National a Card jpg Social - Another Health Card Commons Status shanghai File Resident's Electronic Wikimedia Student With
FREE - In App Store
View
Of National a Card jpg Social - Another Health Card Commons Status shanghai File Resident's Electronic Wikimedia Student With Security Of National a Card jpg Social - Another Health Card Commons Status shanghai File Resident's Electronic Wikimedia Student With Security

Of National a Card jpg Social - Another Health Card Commons Status shanghai File Resident's Electronic Wikimedia Student With Security

Mar 19, 2019 · Brooklyn, United States of America

Speaker: Atin Sood, Advisory Software Engineer at IBM
Of National a Card jpg Social - Another Health Card Commons Status shanghai File Resident's Electronic Wikimedia Student With
https://www.linkedin.com/in/atin-sood-95249638/

Topic:
Fabric for Deep Learning (FfDL): Deep Learning with Kubernetes. How we built it

IMPORTANT: Please bring your photo ID and sign in at the front desk.

Schedule:
6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments
6:30pm - 7:20pm - Talk
7:20pm - 7:30pm - Q&A
7:30pm - 8:00pm - Networking

Bio:
Atin Sood is a technical lead at IBM's Watson Studio. For the last 10+ years, he has been leading technical teams across IBM focusing on scalable distributed systems and scalable machine learning problems.

Abstract:
Open source lowers the barrier to entry for developers and data scientists to be able to utilize deep learning. Introducing FfDL (Fabric for Deep Learning), pronounced "fiddle," an open source Deep Learning as a Service, which embraces a wide array of popular open source frameworks such as TensorFlow, Caffe, and PyTorch. The development of FfDL was a collaborative one, from the architecture choices to the design scalability and reliability. We'll review how how kubernetes makes it possible to scale deep learning on the cloud. Learn how this architecture compares technically against other hosted deep learning architectures, kubeflow, floydhub, polyaxon etc. We'll review what worked out technically in the development of FfDL, and what did not. As well as what will be coming next for the Fabric for Deep Learning.

ODSC Links:
• Get free access to more talks like this at LearnAI:
https://learnai.odsc.com/
• Facebook: https://www.facebook.com/OPENDATASCI/
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science/
• East Conference Apr 30 - May 3: https://odsc.com/boston

Event organizers

Are you organizing Fabric for Deep Learning (FfDL): Deep Learning with Kubernetes. How we built it?

Claim the event and start manage its content.

I am the organizer
Social
Of National a Card jpg Social - Another Health Card Commons Status shanghai File Resident's Electronic Wikimedia Student With Rating

based on 0 reviews

Featured Events