TensorFlow summit after viewing party & workshop - DEEP DIVING TO DEEP LEARNING

Women Techmakers Hamburg
Sat, Apr 14, 2018, 10:00 AM (CEST)

About this event

Google is doing a TensorFlow summit at The Computer History Museum, Mountain View, CA: https://www.tensorflow.org/dev-summit/. The TensorFlow Dev Summit brings together a diverse mix of machine learning users from around the world for a full day of highly technical talks, demos, and conversation with the TensorFlow team and community.

Tensor Flow Dev Summit After-Viewing-Party

This Saturday you will have the option to watch some of the talks of the summit with us and meet our community and the team of esailors over breakfast and snacks. If you want to experiment with TensorFlow yourself you have the chance to participate in our workshop.

Tensor Flow Workshop:

For those of you who want to experiment with TensorFlow we will do a workshop.

- Level: A learning jam for people with little or no knowledge in machine learning.

- What we'll do in the workshop: The MLCC (Machine Learning Crash Course) intended to take you to the point that you can build a neural network model in TensorFlow. We will also discuss common errors, pitfalls, and understand tradeoffs.

- What to bring for the workshop: Laptop

Participation is FREE, but while we would love that everyone learns about TensorFlow, we have limited space at the venue that means we will have to short list some participants and will have a second sign up one day prior to the event. Please leave us your email-adress. Also only sign up if you have time during the whole day. We do not have the capacity to manage late arrivals.

Our host for this event will be esailors https://www.esailors.de/ .

Agenda:

10:00 - 11:00 Breakfast & Keynotes of TensorFlow Dev Summit
11: 15 - 13:00 Choose between Viewing Party and Workshop
13:00 - 14:00 Lunch
11:00 - 16:00 Continue with Viewing Party or Workshop

Prework:
If you are already excited, here are some tutorial to wet your appetite and help you get ready for the workshop:

Pandas: a tool that we will use for manipulating datasets:
Intro to Pandas: https://colab.research.google.com/notebooks/mlcc/intro_to_pandas.ipynb?hl=en

Python tutorial: It is advised that you will be familiar with python. Here is a nice tutorial to remind you of some important concepts:
https://docs.python.org/3/tutorial/

Until then stay tuned in our Facebook group: https://www.facebook.com/groups/womentechmakershamburg/

or follow us on Twitter: https://twitter.com/eVmoinworld

or learn how to code and visit our website: www.moinworld.de