machine learning
Minimizing CPU utilization for deep networks
So for demos, I am planning for
- MNIST
- Autopilot (NVIDIA)
- Emojinator
- Malaria Detection
- Quick, Draw (Google)
So to pinpoint the techniques for minimization of CPU resources, I am going to discuss
Experience level:
Beginner
Formatting for the Masses Part II
Code formatting is an opinionated beast. It always has been a matter of taste, and it always will be a matter of taste. This is the reason, why professional formatting tools, such as Eclipse JDT, offer a gazillion number of options. Which is still not sufficient enough. After all, you can override them inline with tag-comments to make the formatter shut up. Can't we do better than that? What if we could use machine learning techniques to detect the preferred code style that was used in a codebase so far? Turned out, we can.
Experience level:
Intermediate
DAISY - An Eclipse based IDE for Automotive Machine Learning
Teaser: Today, the development of automotive software functions based on artificial intelligence still needs a lot of different tools, languages and frameworks.
In this talk, we introduce how we built upon the Eclipse eco-system an integrated development environment called "DAISY" (Development environment for Artificial Intelligence SYstems).
Experience level:
Beginner
