Deploy and Train TensorFlow models in Go: Human Activity Recognition case study
Every Machine Learning (ML) product should reach its final stage: the deployment to production. Unfortunately, there isn't a plethora of examples containing information on how to deploy a model to production and how to design the model environment for the production. In this article, I'm going to cover these points using TensorFlow 2 as the framework of choice and Go as the target language for the deployment and training.
GitLab CI/CD for cross-platform Unreal Engine 4 projects
Continuous Integration (CI) is an essential step in the development pipeline of well-designed software infrastructure. Unreal Engine 4, on its side, does not provide an handy way to design CI/CD easily, since the project itself is huge and the system administration challenges to make it scale are big. This article will guide you through the development of a CI/CD pipeline (using GitLab) for cross-platform Unreal Engine 4 projects
FaceCTRL: control your media player with your face
After being interrupted dozens of times a day while coding with my headphones on, I decided to find a solution that eliminates the stress of pausing and re-playing the song I was listening to. The solution is machine learning / computer vision application developed with TensorFlow 2, OpenCV, and Playerctl. This article will guide you trough the step required to develop such an application.
Hands-On Neural Networks with TensorFlow 2.0
The first book on TensorFlow 2.0 and neural networks is out now!