Geeks Artificial Neural Network (GANN) is an alternative kind of ANN introduced by George Delaportas in 2006 that predates most of the innovations recently found in Tensor Flow and other ANN libraries in 2022 and on.

Actually, GANN is not just another ANN but rather a framework that creates and trains this new ANN automatically based on certain criteria and mathematical models that were invented explicitly for this purpose.

GANN can be used by anyone since it requires NO coding!

For all the details behind the architecture and the maths of G.A.N.N check the documentation on GitHub.

For the code you may check GANN.