Dear Reader, I decided to publish an old version of the RProp algorithm I wrote back in 2003 that demonstrates how the algorithm modified to use matrix algebra works. The demo can be downloaded from here, both source files and binaries: https://github.com/bulyaki/NeuralNetworkTrainer Originally this version was lacking a couple of libraries and I could not […]
Since the RProp algorithm uses if/else conditional statements while determining update values some special helper matrix-functions and helper matrices must be introduced. These functions will allow us to express the conditional statements more elegantly, only using matrix operations. Some matrices needed to make the above functions work: D: decision matrix, M: meta-gradient matrix, U: update […]
In a multi-layered neural network weights and neural connections can be treated as matrices, the neurons of one layer can form the columns, and the neurons of the other layer can form the rows of the matrix. The figure below shows a network and its parameter matrices. The meanings of vectors and matrices above: ninl […]
