Could the awareness about world’s objects improve the effectiveness and efficiency of Reinforcement Learning algorithms?

Reinforcement Learning might provide the right tools to build full autonomous agents, one day. Photo by Franck V. on Unsplash

A complete guide on how to Detect and Cluster up to 40 facial attributes, using an efficient MobileNetV2-based model.

A synthetic face from smiling young brown-haired women
A synthetic face obtained from images of young smiling brown-haired women


Android with OpenCV and Dlib

Fight and Annihilate NullPointer-like Exceptions

Getting a NullPointerException is like falling from a waterfall — Photo by Bryan Goff on Unsplash

We will discuss how to train alternative models (to the ones proposed by Dlib) used to detect a set of facial landmarks.

Example of the 68 facial landmarks detected by the Dlib pre-trained shape predictor

Face Landmark Localization

Luca Anzalone

PhD student in Data Science and Computation @Alma Mater Studiorum

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