Machine Learning Study Jam

New to Machine Learning or TensorFlow but don’t know where to start? Join us for a Machine Learning Study Jam! This event is intended for those who wish to learn about ML from a practical, applied perspective that will enable you to use machine learning in your everyday projects and learn about the power of TensorFlow. This is a great opportunity for anyone with basic programming skills and limit

Aug 11, 2018, 5:00 – 9:30 PM

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About this event

New to Machine Learning or TensorFlow but don’t know where to start? Join us for a Machine Learning Study Jam!

This event is intended for those who wish to learn about ML from a practical, applied perspective that will enable you to use machine learning in your everyday projects and learn about the power of TensorFlow. This is a great opportunity for anyone with basic programming skills and limited Machine Learning knowledge willing to gain some practical experience in ML and TensorFlow. We will use materials from the Machine Learning Crash Course with TensorFlow (MLCC) as well as high level TensorFlow API tf.keras. You will also learn some of the latest features of TensorFlow.

*** Make sure to bring your own laptop with a charger. ***

AGENDA
9:30AM Check in & breakfast
10:00AM kick off
10:30AM Machine Learning basics
11:30AM Deep Learning and TensorFlow
12:30AM Lunch break
1:30PM TensorFlow Lite
2:30PM Wrap up

RSVP

Make sure to update your RSVP to ‘No’ on meetup if you can no longer attend the event. This will automatically free up your seat to those who are on waitlist. Due to the limited capacity, we are only able to accommodate those who RSVP’d yes, not your plus ones.

PARKING & TRANSPORTATIONS
This will be held in building B (room KIR-6THB-1-Backstreet/Banana Seat) at Google Kirkland. When you arrive you can park in a guest parking spot by building A, B or building D (P1 or P2).

Organizers

  • Margaret Maynard-Reid

    GDG Organizer

  • Yenchi Lin

    GDG Organizer

  • clive boulton

    GDG

    Architect and Engineer

  • Vishal Pallerla

    GDG organizer

  • David Gamez

    GDG Organizer

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