Warum Bitcoin als Wertspeicher in keinem diversifizierten Portfolio fehlen sollte. Jetzt lesen -w-
03.05.2017 23:40:00

A Full-Day Meetup to Focus on a Practical Use of TensorFlow

SUNNYVALE, Calif., May 3, 2017 /PRNewswire/ -- On May 7, Altoros and @WalmartLabs will be hosting a mega meetup in Sunnyvale, CA, dedicated to deep learning with TensorFlow. The technology is an open-source machine intelligence library created by Google in 2015. TensorFlow uses data graphs to represent mathematical operations and the multi-dimensional data arrays (tensors) communicated in between.

"The variety, number, and scale of models that large retailers have to handle makes model lifecycle management an important consideration for technology choices at Walmart," said Esteban Arcaute, Head of Data Science, @WalmartLabs. "That's why we are excited to host TensorBeat 2017 and support the deep learning community and TensorFlow users everywhere."

The event—entitled as "TensorBeat 2017"—is organized by Altoros, a global cloud-native development company. Amazon's Alexa, CloudMinds, MuleSoft, and @WalmartLabs have been named Premium Sponsors.

According to Chandra Khatri, Applied AI Scientist at Amazon, "The Alexa Science and Machine Learning team is thrilled to sponsor this meetup," helping to foster the TensorFlow community.

Agenda

The announced sessions and speakers:

— "Building an Answer Bot in the Cloud" (Avkash Chauhan, H2O)
— "Machine Learning on VMware vSphere 6 with NVIDIA GPUs" (Lan Vu and Uday Kurkure, VMware)
— "Dive Deeper into Finance with TensorFlow" (Daniel Egloff, QuantAlea)
— "Practical Reinforcement Learning with TensorFlow" (Illia Polosukhin, XIX.ai)
— "Control Flow Operations in TensorFlow" (Sam Abrahams, Metis)
— "TensorFlow Visualization with Guild AI" (Garrett Smith, Guild AI)
— "How to Run TensorFlow More Cheaply in the Cloud Using Elastic GPUs" (Subbu Rama, Bitfusion)

Two panels will also elaborate on using TensorFlow in finance and manufacturing.

"We're excited to support new ways of thinking and innovation across organizations and industries," said Uri Sarid, CTO, MuleSoft. "TensorFlow and MuleSoft make it easier to experiment with deep learning and machine learning."

RSVP at www.tensorbeat.com

About Premium Sponsors

Alexa (www.alexa.com) is an Amazon company. Its goal is to make voice interfaces ubiquitous and as natural as speaking to a human, using many real-world data sources including customer interactions and a variety of techniques like highly scalable deep learning.

CloudMinds (www.cloudminds.com) is a developer and operator of cloud robots, providing secure networking and connecting devices to a blockchain-based AI platform.

MuleSoft™'s (www.mulesoft.com) mission is to help organizations change and innovate faster by making it easy to connect the world's applications, data, and devices. With its API-led approach to connectivity, MuleSoft's market-leading Anypoint Platform™ is enabling 1,000+ organizations in 60+ countries to build application networks.

@WalmartLabs (www.walmartlabs.com) creates products around social and mobile commerce to support Walmart's global strategy of anytime, anywhere access where millions of customers can shop through mobile devices, both online or physically.

About the organizer

Altoros (www.altoros.com) is a 300+ people strong consultancy that helps Global 2000 organizations with a methodology, technology building blocks, and end-to-end solution development. The company turns cloud-native app development, customer analytics, blockchain, and AI into products with a sustainable competitive advantage.

Media Contact:
Vlad Leetventchouk
157912@email4pr.com 
(650) 265-2266 ext. 503

To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/a-full-day-meetup-to-focus-on-a-practical-use-of-tensorflow-300451105.html

SOURCE Altoros Americas

Eintrag hinzufügen
Hinweis: Sie möchten dieses Wertpapier günstig handeln? Sparen Sie sich unnötige Gebühren! Bei finanzen.net Brokerage handeln Sie Ihre Wertpapiere für nur 5 Euro Orderprovision* pro Trade? Hier informieren!
Es ist ein Fehler aufgetreten!