Viewing 1 current event matching “tensorflow” by Date.

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Dec 11
OpenHack Machine Learning
through Pure Space

RSVP required.

December 11-13, 2018 Portland, OR

Join us for three days of fun-filled, hands-on hacking where you will team up with colleagues, industry peers, and Microsoft experts to tackle scenarios influenced by common, real-world problems using Microsoft platform capabilities and other industry leading technologies. OpenHack Machine Learning event focuses on problems in the computer vision space and allows developers to leverage Python image processing libraries as well as machine learning frameworks such as Scikit-Learn, CNTK or TensorFlow.

During OpenHack you will have the opportunity to:

• Hack on challenges designed to leave you with the skills and expertise needed to deploy your solution. • Network with fellow industry peers and other professional developers from large enterprises as well as Microsoft engineers. • Get answers to your technology and workplace project questions from Microsoft and industry experts. • Take advantage of the limited number of 1-hour envisioning sessions to work side-by-side with Microsoft experts on your own workplace projects. These sessions are available on a first come, first served basis.

OpenHack is Free!

This is a free event. Food, refreshments, and swag will be provided to attendees.


No one likes to deal with traffic and parking. To make your commute to OpenHack a bit easier, attendees will receive $50 in Uber credits. In addition, two Xbox One X consoles will be raffled off at the event.


To be successful and maximize the value of OpenHack, a basic understanding of computer vision, Python, and data structures would be a big plus. We don't expect you to be an expert, so be prepared to roll up your sleeves and participate in an interactive team environment.


Viewing 6 past events matching “tensorflow” by Date.

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Jan 30
Google Development Group (GDG) PDX Meetup - Tell great data stories with Data Studio
eBay Community Lounge

• What we'll do
Come and explore how to tell great data stories to support better business decisions using Google Cloud Data Studio. Google Data Studio turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions. Easily access all the data sources you need to understand your business and make better decisions. Transform your raw data into the dimensions, metrics, and calculations you need — no code or queries required. Harness the collective wisdom of your team. Share and collaborate in real time. Work together quickly, from anywhere.

• What to bring

• Important to know

Mar 14
TensorFlow Northwest User Group

Inference, Deep Neural Nets, Hyper-Parameters, Sign Language and Visual Insights

Welcome to TensorFlow Northwest. It was exciting to have so many of you come out during February’s snow-mageddon. This month, we prepared a balanced agenda to have new contents, and to incrementally build on what you’ve learned. On the other hand, we built the labs in a way that will allow those who couldn’t beat the storm to catch up quickly.

Al Kari will begin with an introduction and a technology update, then he moves on to cover a key topic in TensorFlow: Saving your models so you can use them to classify new data. The discussion will cover best practices and techniques to use your trained models for inference and transfer learning.

Al is Manceps’ Co-founder and CEO ( where he helps enterprise clients with their Digital Transformation and intelligent computing roadmaps.

Next, Andrew Ferlitsch will take you on a code-along adventure via Colaboratory- An Introduction to Constructing Neural Networks and Hyper-parameter Tuning.

You’ve kicked the tires with 5 digits hand signs last month. Now, we progressively build layers of a neural network for the larger dataset of the American Sign Language hand gestures including all the letters of the alphabet. We will cover a fully connected neural network, proceed to a deep neural network, and then add dropout layers to tackle overfitting. Then we wrap up with the fundamentals of hyper-parameter tuning. The lab requires a laptop with a modern browser and will be at a modest pace to provide sufficient opportunity to ask questions and share insights.

As Chief Data Scientist at Manceps, Andrew works on solving a diverse set of problems using Deep Learning and advanced analytics.

Finally, David Molina will demystify Neural Networks once and for all, visually! What does bias do in a Neural Network? Why are weights important? What happens when we select a high learning rate? How do we know how many inputs to select? How many hidden layers a model needs in order to predict accurately? How does a Neural Network work? These are questions we ask when we begin studying Machine Learning as we encounter our first Neural Network. David will explore visually what’s behind the code, and what happens inside a Neural Network when it runs.

David is an Industrial Engineer with five years corporate experience in building databases, managing and analyzing large data sets, and optimizing systems and processes. He is currently studying Machine Learning and consulting for companies in his native country of Colombia.

REMEMBER to bring your laptop

Pizza and drinks sponsored by Intel. Links to the labs will be posted shortly.

Hope you have a great time learning and networking.

Apr 18
TensorFlow Dev Summit Recap Joint Meeting with TensorFlowNW

This is a joint meetup with TensorFlow NW and will be held at Vacasa. Check that meetup page for more information:

What interests you the most?

TensorFlow Dev Summit 2018 - Recap

If you didn't make it to the TFDevSummit then you're in luck: We will bring the summit to you! A whole day of updates will be summarized for you in this session, where you get to hear what is available right now and where the technology is going next.

We are super excited to hold this joint event with the Portland Deep Learning group. In this interactive session, @alkari and @juliobarros will cover major topics and facilitate an open discussion on the latest features available in the framework.

For a bonus, @bhlmn will introduce Convolutional Neural Networks use cases in meteorology; Weather nerdery is a common phenomenon, and armed with a fresh PhD in the field, Bryan will get you thinking about CNN's potentials in Meteorology, now and in the future.

Come prepared for a dialogue and bring your questions, ideas and suggestions. There will be a quiz!

Don't miss this event.

Sep 19
Peer mentoring, probability distributions and case study
The Tech Academy

At this meeting we will have: - an intro/review of probability distributions and where to use them - a discussion on a real life case study - a discussion on chapters 1-3 of the book.

Come on out and learn, teach and discuss probabilistic programming.

Oct 30
Hillsboro Python Machine Learning Meetup
DAT Solutions

Presentation and open discussions. “Introducing TensorFlow Probability” by David Molina, Data Scientist

Abstract: David will be presenting probabilistic modeling using TensorFlow. If we are classifying several thousands of images it's fine if we have some miss-classification detecting a cat or a dog but if we have our model making important decisions, for example, a miss-classification in a self-driving car or giving a medical diagnostic. Probabilistic programming allows us to deal with real-world uncertainty. Let's explore with TensorFlow probability how we can improve predictions adding randomness into our models.

8.15 pm – 9.00 pm: Coding and learning session. Bring your Python development laptop!