Deep Learning

4 talks from the 2022 edition.

Financial Portfolio Management with Deep Reinforcement Learning

T-Berger

This talk will answer the question, if a deep reinforcement agent can be trained to optimize a financial portfolio. And therefore outperform an etf-based benchmark while minimizing the risk and maximizing the return...
How to Trust Your Deep Learning Code ▶ Recording 📝 Transcript

Tilman Krokotsch

Errors in Deep Learning are hard to catch as training often fails silently s. Unit testing can catch those errors early and lets you make changes to your code base with confidence. Learn about the unique challenges...
Optimize your network inference time with OpenVINO ▶ Recording 📝 Transcript

Adrian Boguszewski

During the talk, I'll present the OpenVINO™ Toolkit. You'll learn how to automatically convert the model using Model Optimizer and how to run the inference with OpenVINO Runtime to infer your model with low latency...
Practical graph neural networks in Python with TensorFlow and Spektral ▶ Recording 📝 Transcript

Aleksander Molak

Graph neural networks (GNNs) have become one of the hottest research topics in recent years. Their popularity is reinforced by hugely successful industry applications in social networks, biology, chemistry,...