Register until January 23:
✓Raspberry Pi or C64 Mini for free
✓Save up to $310
✓ Group Discount
Register Now
Register until January 23:
✓Raspberry Pi or C64 Mini for free
✓Save up to $310
✓ Group Discount
Register Now
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Infos
09:00 - 17:00
Salon 6+7
Hands on Workshop
Description
In this workshop you will discover how machines can learn complex behaviors and anticipatory actions. Using this approach autonomous helicopters fly aerobatic maneuvers and even the GO world champion was beaten with it. A training dataset containing the “right” answers is not needed, nor is “hard-coded” knowledge. The approach is called “reinforcement learning” and is almost magical. Using TF-Agents on top of TensorFlow 2.0 we will see how a real-life problem can be turned into a reinforcement learning task. In an accompanying Python notebook, we implement – step by step – all solution elements, highlight the design of Google’s newest reinforcement learning library, point out the role of neural networks and look at optimization opportunities. The Python notebooks are hosted on Colab. All you need is a laptop with a current Chrome browser and a Google account. We also gladly discuss application ideas you – as an attendee – might bring along.