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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 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 OpenAI

• How is OpenAI structured

• What does OpenAI bring to the table

• What to expect in 2016

• OpenAI Governance

• How can you get involved

Talk #2: Overview of Tensorflow

• What is Tensorflow, really?

• What does TensorFlow bring to the table

• TensorBoard: Visualizing Learning

https://lh5.googleusercontent.com/K8EyBBZXrQD3oDnANFPtAns7ZhlL8179WyUKIfARSfJWB1koBkys89ziSSiJzkqrXT8LTJ7iqV76L8gOTvfu5qUyUb5FWUxtSpGIQFhw3SsyUJDOuRr9BGWjsTug66Dr4kbt0NuU

https://lh6.googleusercontent.com/ogb4ZlbcGbYVj9Wg-bpLsPWjGT4pfVSA59-REk6bW1DaOJNoGj4rotLe8qNAd76oXQSzuj4K0ZtsOt8QdwkEQocGCraQxJcF0BcTYAz9SsxUfOivE5q8wlLP3Rd6LLqzSOsUva-u

• 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

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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.

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