TensorFlow 2 Basics - Saturday

09:00-17:00, January 25

Workshop / Overview

This full-day workshop will show you how to transform big data into a TensorFlow dataset and then use Keras to create linear, convolutional and recurrent prediction models.

We use Colab notebooks to inspect and transform the QuickDraw dataset and train and run the models.

ML knowledge is not strictly required for understanding the TensorFlow code, but we won't have time to explain ML theory during the workshop.

Workshop / Outcome

Participants will have a working skeleton for creating their own dataset to train and run models using TensorFlow.

Workshop / Difficulty

Beginner level

Workshop / Prerequisites

  • Python programming
  • Own laptop with a modern browser

Track / Co-organizers

Bartek Wołowiec

Software Engineer, Google

Ruslan Habalov

Security Engineer, Google

Andreas Steiner

Software Engineer, Google

Megan Ruthven

Software Engineer, Google

AMLD EPFL 2020 / Workshops

A Conceptual Introduction to Reinforcement Learning

With Bram Vandendriessche, Kevin Smeyers & Katrien Van Meulder

09:00-12:30 January 25

Applied Machine Learning with R

With Dirk Wulff

09:00-17:00 January 25

Augmenting the Web browsing experience using machine learning

With Tudor Avram, Oleksandr Paraska, Vasily Kuznetsov & Levan Tsinadze

09:00-12:30 January 25

AMLD / Global partners