Modern neural networks is just playing with matrices. So in a few words, Hopfield recurrent artificial neural network shown in Fig 1 is not an exception and is a customizable matrix of weights which is used to find the local minimum (recognize a pattern). The Hopfield model accounts for associative memory through the incorporation of memory vectors and is commonly used for pattern classification.
When I started to work with Hbase, I realized that there are no good examples and tutorials for C or C++ client. So I decided to show how to create and compile a working Hbase client which may become a wheelhorse for any project needed processing of very large data sets.