Tensorflow 2.0: models migration and new design
Tensorflow 2.0 will be a major milestone for the most popular machine learning framework: lots of changes are coming, and all with the aim of making ML accessible to everyone. These changes, however, requires for the old users to completely re-learn how to use the framework: this article describes all the (known) differences between the 1.x and 2.x version, focusing on the change of mindset required and highlighting the pros and cons of the new implementation.Understanding Tensorflow's tensors shape: static and dynamic
Describing computational graphs is just a matter connecting nodes correctly. Connecting nodes seems a trivial operation, but it hides some difficulties related to the shape of tensors. This article will guide you through the concept of tensor's shape in both its variants: static and dynamic.Camera calibration guidelines
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.Ethereum on Raspberry Pi: secure wallet and complete node with redundant storage
Ethereum is a relatively new player in the crypto-currencies ecosystem. If you are a researcher, an algorithmic trader or an investor, you could want to run an ethereum node to study, develop and store your ETH while contributing to the network good.
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