tRain your neural networks to do
whatever you want.

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a model based on sample data, known as «training data», in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.

collections intelligent feature for viber channel
(.NET & Python)

A project which uses Neural Networks to identify a customer’s response via a communication channel and insert the proper action into the database.
The project was implemented in 2 versions. In .NET and also in Python.

collections intelligent feature
(Javascript versions)

A similar project with the above, but in other version utilizing Brain.js , whichx.js and mimir textclassifier.js

Multilayer neural network

A MATLAB project which aims to analyze a given a usps_all.mat file that describe a 2200 total of pictures (in binary mode 0,1) and train the neural network to recognize them.