Cross Section and Deep Dive into TensorFlow.
Details
• Remember to bring your official ID in case you are asked by Symantec security team.
• Please answer a few questions in this survey to help speakers adjust their slides according to your interests:
https://www.surveymonkey.com/r/HB5SDY8
Agenda:
5:30 - Doors open. Initiation of the new guild members.
5:45 - Networking. Meet members of the guild.
6:45 - Welcome. Members of the guild to vote on the topics of interests for the future meetings.
7:00 - Fireside chat + Q&A with Yaroslav Bulatov, Software Engineer @ Google Brain
7:15 - Talk #1.
7:30 - Fireside Chat with Gregory Renard, Chief Visionary Officer @XBrain.
7:45 - Talk #2.
8:15 - Q&A & wrap-up.
Talk #1: Overview of TensorFlow. The Learning Perspective
Eric Danziger, Senior Engineer at a computer vision startup in San Jose and a graduate from the Robotics Institute at Carnegie Mellon, will share walk you through his experience learning Tensorflow starting with the MNIST demo and working up to replicating parts of the paper Playing Atari with Deep Reinforcement Learning by Mnih et al.
Fireside Chat: The Possible Impact of OpenAI with Gregory Renard, Chief Visionary Officer @XBrain
Gregory is an artificial intelligence solutions architect and big data guy working on Personal Assistant for Cars, IoT data (Machine Learning, Deep Learning), connected things and Voice/Semantic Search (NLU, DeepNLP) for over than 15 years.
Based on his experience and vision about Personal Assistant, he co-founded xBrain, Inc., which has created an easy to use artificial intelligence cloud-based platform for next generation intelligent web and personal assistant developers. The xBrain platform supports natural communications between any object or device in the Internet of Things to enable simple applications which model human communication and intelligence.
As a former math teacher and data scientist, he is passionate about a connected world where universal access to information and knowledge frees people to achieve their full potential.
Talk #2: An end-to-end example of using TensorFlow
In this talk, we will focus on just the bare bones TensorFlow with an actual code example. Our goal is to the learn the various TF concepts in the context of a working application.
Speaker: Delip Rao, Joostware
Delip Rao is the founder of Joostware, a San Francisco based company, that specializes in consulting and building highly scalable, bespoke solutions involving machine learning, search, and natural language processing. Delip has worked on NLP and ML research problems involving semi-supervised learning, graph based ranking, sequence learning, distributed machine learning, and more, and has published several highly-cited papers in these areas. At Joostware, Delip works 1-1 with his clients (early-mid stage startups) to help them set up their big data infrastructure, identify and implement novel machine learning, search, and natural language processing based solutions, and training on machine learning. Prior to founding Joostware, Delip worked on building ML/NLP research & products at Amazon, Twitter, and Google Research.
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HOW TO FIND US:
Look out for Symantec e-Café - the entrance is right behind the palm trees at the picture. VTA tram is 5 min walk from the location through Symantec parking lot. See below:
Cross Section and Deep Dive into TensorFlow.