Introduction to Neural Networks in Tensorflow

This is a past event

PayScale

1000 1st Avenue South #500, Seattle, WA 98134 · Seattle, WA

How to find us

Entrance is on Occidental (East side of building, across from CenturyLink/WaMu Theater)

Location image of event venue

Details

century link parking garage ($8) or the North Lot next to Century link ($13).

Due to security concerns we need the First and Last name - as on your government issued ID registered using EVENTBRITE.COM (https://www.eventbrite.com/e/seattle-meetup-introduction-to-neural-networks-in-tensorflow-tickets-26521398216)

Many thanks to PayScale (http://payscale.com/) for hosting and sponsoring the Tensorflow meetup!

Agenda:

6:30 - Doors open. Networking. Members meet each other. Pizza and beer

7:00 - Introduction to Neural Networks in Tensorflow by Nick McClure, Senior Data Scientist @ PayScale

8:00 - Q&A break

8:20 - Wrap-up.

Speaker: Nick McClure, Senior Data Scientist @ PayScale

Neural Networks are becoming very popular due to their recent advancements in image recognition and text processing. We will introduce Neural Networks as a very simple concept. This can be achieved with Google's newest open-source library in Python called Tensorflow. Neural Networks are not hard to understand and Tensorflow makes it easy to implement. Another goal of this talk is to introduce the current state of Neural Networks as they are continually changing the landscape of visual recognition and natural language processing. We will also get a chance to review and run a simple neural network for regression in Tensorflow.

Due to security concerns we need the First and Last name - as on your government issued ID registered using EVENTBRITE.COM (https://www.eventbrite.com/e/seattle-meetup-introduction-to-neural-networks-in-tensorflow-tickets-26521398216)

Parking: There are no Century Link events on this date, so we recommend three options (1) CenturyLink Parking Garage - $8, (2) North Lot, next to CenturyLink - $13, or (3) arriving via the Light Rail at either King Street Station or the Stadium Station or using the First Hill Street Car.

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