Introduction to fountain codes: LT Codes with Python

In 1998, Michael Luby published the Luby Transform Code (LT Code), an error correction algorithm belonging to the “fountain” code class, a type of corrector code that can generate an infinite number of packets to reconstitute data lost during transfers across different networks.

Step-by-step modeling a neural network for classification

I wanted to focus here on the modeling procedure of a neural network for classification in Javascript. How to choose the number of intermediate layers and their associated numbers of neurons? And above all: how to interpret the results? These are the questions that asked myself and to which I would like to apply a… Read more Step-by-step modeling a neural network for classification