Hello Everyone,

Hope all is well.

As we mentioned in the Google IO Extended, we are resuming with the rest of the 7 sessions of the TensorFlow Crash Course Series on Wednesday, May 23rd at 6:30pm.
Doors will open at 6:00pm.

Please be advised that we will be looking to to get started at 6:30pm sharp!

We will be opening the RSVP to the participants of session 1 during our IO Extended event first.

This pre-registration will be in a Google Form.

If you attended the IO Extended event, and are looking to sign-up, please check your email associated with your Meetup.com account for a link to this survey.

RSVP will be limited to 20 participants on a first-come-first-served basis.

If you end up on the waiting list, but would still like to follow along with the series, please visit the Machine Learning Crash Course page (https://developers.google.com/machine-learning/crash-course/prereqs-and-prework).

In advance of Session 2, the homework will be as follows:

Please make sure to go through the Prerequisites and Prework (https://developers.google.com/machine-learning/crash-course/prereqs-and-prework)

We will cover topics from Framing (https://developers.google.com/machine-learning/crash-course/framing/video-lecture) to Training and Test Sets (https://developers.google.com/machine-learning/crash-course/training-and-test-sets/video-lecture). Please make sure you have gone through the course video and exercises on the site.
The expectation is that participants will review these materials in advance of Session 2 so as to make the most of the in-class time.

Hardware and Software Requirements
You will likely need the following items or an equivalent to participate in the in-class sessions:
- Laptop - if you do not have it, you will cannot follow the coding part of the session
- Operating System of your choice
- Python installed
- PIP installed
- TensorFlow installed (https://www.tensorflow.org/versions/r0.12/get_started/os_setup)
- install matplotlib - https://matplotlib.org/ (pip install matplotlib)
- install jupyter - http://jupyter.org/ (pip install jupyter)

We will not have time to help people to get the installations set up.

Please make sure to come prepared.

Look forward to see everyone!

GDG Toronto