The process of geometric camera calibration (camera resectioning) is a fundamental step for machine vision and robotics applications. Unfortunately, the result of the calibration process can vary a lot depending on various factors. There are a lot of empirical guidelines that have to be followed in order to achieve good results: this post will drive you through them.

Tensorflow is not a Machine Learning specific library, instead, is a general purpose computation library that represents computations with graphs. Its core is implemented in C++ and there are also bindings for different languages. The bindings for the Go programming language, differently from the Python ones, are a useful tool not only for using Tensorflow in Go but also for understanding how Tensorflow is implemented under the hood.

Overfitting is a problem in Deep Neural Networks (DNN): the model learns to classify only the training set, adapting itself to the training examples instead of learning decision boundaries capable of classifying generic instances. Many solutions to the overfitting problem have been presented during these years; one of them have overwhelmed the others due to its simplicity and its empirical good results: Dropout.