Name: Cross Section and Deep Dive into TensorFlow
Start: 2016-01-21T17:30:00-08:00
End: 2016-01-21T20:30:00-08:00
Location: Concur Conference Center @ 1st FLOOR (Enter from the LOBBY)

http://photos4.meetupstatic.com/photos/event/3/e/d/4/600_446116084.jpeg

Agenda:

5:30 - Doors open. Initiation of the new guild members.

5:45 - Networking & Pizza. Meet the members.
6:45 - Welcome. Members to share topics of interests for future meetings.
7:00 - Fireside chat with Wilson Mar, Architect for Performance in data and mobile systems @JetBloom.
7:15 - Talk #1.

7:45 -Talk #2

8:15 - Q&A & wrap-up.

Talk #1: Overview of Tensorflow

• What is Tensorflow, really?

• What does TensorFlow bring to the table

• TensorBoard: Visualizing Learning

http://1.bp.blogspot.com/-vDKYuCD8Gyg/Vj0B3BEQfXI/AAAAAAAAAyA/9tWmYUOxo0g/s640/cifar10_2.gif

• TensorFlow Mechanics

• Likely scenarios for evolution of TensorFlow

• The new world ahead - places you've never been before where TensorFlow may take you today and tomorrow

Presenter: Akshay Srivatsan, Bloomberg LP

Akshay Srivatsan has worked at Bloomberg LP and at Applied Communication Sciences. Akshay has a strong interest in machine learning, specifically in natural language processing, and has experience with graphical model approaches such as LDA and also deep learning based techniques such as word vector embeddings. Recently Akshay has become interested in TensorFlow as an effective toolkit for deep learning. Using the library, he has implemented projects on deep Q learning, and on deep canonical correlation analysis.

Talk #2: Dive into TensorFlow code

You will dive into the code for some of the example classifiers on TensorFlow's website to see how to actually use the library. Learn about Deep Q Learner tthat showcases the potential for what you can build using TensorFlow.

Presenter: Akshay Srivatsan, Bloomberg LP

_________________________

PARKING:

There is parking both under the building (enter from the North side) of 108th Ave NE, and on 106th Ave NE, in front of Starbucks and Barnes & Noble, West of the building.

Renat

AI Performance Engineering Meetup (Seattle)

Technology

Data Mining

TensorFlow

Data Analytics

Big Data

Machine Learning

Predictive Analytics

Artificial Intelligence Applications

Machine Intelligence

Data Science

Deep Learning

Artificial Intelligence

PyTorch

Kubernetes

CUDA: Compute Unified Device Architecture

Cross Section and Deep Dive into TensorFlow

Concur Conference Center @ 1st FLOOR (Enter from the LOBBY)

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AI Performance Engineering Meetup (Seattle)

Cross Section and Deep Dive into TensorFlow

AI Performance Engineering Meetup (Seattle)

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