Object detection Part 3 – Local training [Tensorflow]
We look into training your model locally on windows and other platforms.
We install plausible and test how the analytics with plausible works. We read the code and try to understand what kind of features are available and look at how to integrate them into your site.
We are in our new linux environment and create coreutils, python, ninja and meson. Talking about their usages and the importance of the utils in the core of linux.
We use OpenCL to run workloads on GPU and try a simple blur filter.
We look at what will come in the next release of java. Java 14, this release will wrap up development for the long time support release.
We talk about building different file utils and how they can be stringed together to great usage.
I’m trying to solve all the Advent of Code puzzles in this video series.