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With Animesh Singh (Program Dir., IBM Watson).
Tuesday, April 24, 2018 at 06:00 PM   Absolutely Free
ITU Auditorium at International Technological University, 2711 N 1st St
 
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LOCATION
DETAILS
April 24, 2018, 6:00-8:00PM

Animesh Singh STSM - AI & Deep Learning on Cloud Member of IBM Academy of Technology,San Jose
Vodka Drinks Best For Recipes 22 - Easy Cocktails

Vodka Drinks Best For Recipes 22 - Easy Cocktails
– Ids Years Quest Fake amp; Vandy The Fake Their For Review First Purchasing Political VanderbiltLocation: ITU Auditorium, International Technological University 2711 N 1st St., San Jose, CA 95134
(Register here)
Vodka Drinks Best For Recipes 22 - Easy Cocktails

IEEE Computer Society of Silicon Valley


Vodka Drinks Best For Recipes 22 - Easy Cocktails
IEEE Communication Society Santa Clara Valley Chapter
Vodka Drinks Best For Recipes 22 - Easy Cocktails



PROGRAM
6:00 - 6:30 PM Networking & Refreshments 6:30 - 7:45 PM Talk 7:45 - 8:00 PM Q&A/Adjourn
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Abstract:
Vodka Drinks Best For Recipes 22 - Easy Cocktails
Training deep neural network models requires a highly tuned system with the right combination of software, drivers, compute, memory, network, & storage resources.
Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, & MXNet have contributed to the popularity of deep learning by reducing the effort & skills needed to design, train, & use deep learning models. Fabric for Deep Learning (FfDL, pronounced fiddle) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes.
In this talk we are going to introduce an open source project called Fabric for Deep Learning (FfDL). It uses a microservices architecture to reduce coupling between components, keep each component simple & as stateless as possible, isolate component failures, & allow each component to be developed, tested, deployed, scaled, & upgraded independently.
Bio:
Animesh Singh is an STSM & Program Director for IBM Watson & Cloud Platform, currently leading Machine Learning & Deep Learning initiatives on IBM Cloud. He has been with IBM for more than a decade & is currently working with communities & customers to design & implement DeepLearning, Machine Learning & Cloud Computing frameworks. He has been leading cutting edge projects for IBM enterprise customers in Telco, Banking, & Healthcare Industries, around cloud & virtualization technologies. He has a proven track record of driving design & implementation of private & public cloud solutions from concept to production. He also led the design & development first IBM public cloud offering, & was the lead architect for Bluemix Local. Find Animesh on Twitter @AnimeshSingh.
Animesh Singh
Venue:
ITU Auditorium, International Technological University 2711 N 1st St., San Jose, CA 95134

Theater style auditorium, capacity 250 people
Free parking at the ITU, first-come, first-serve basis
Attendees can only enter the building via the main entrance.
All attendees are required to check in at the front desk.
Food & drinks will be provided

Open to all to attend
Vodka Drinks Best For Recipes 22 - Easy Cocktails Vodka Drinks Best For Recipes 22 - Easy Cocktails
(Online registration is needed. If you did not register, seating is not guaranteed.)
 
 
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