There was a lot of feedback on my neural network implementation, mostly regarding architectural suggestion so i sat down and rewrote my neural network implementation, its pretty elegant now. I seperated the training of the network from the actual network itself and so i have a basic feed forward network, a data set reader and a neural network trainer. I also renamed several data structures to make things more understandable, also i wasnt lazy and used proper header files and includes 😛

Below is an updated class diagram of the new version:

Here’s the updated implementation (with a VS2k8 solution):

• Neural Network C++ Source Code

The original tutorials can be found here:

• Neural Network Tutorial – Theory
• Neural Network Tutorial – Implementation

So I’ve now finished the first version of my second neural network tutorial covering the implementation and training of a neural network. I noticed mistakes and better ways of phrasing things in the first tutorial (thanks for the comments guys) and rewrote large sections. This will probably occur with this tutorial in the coming week so please bear with me. I’m pretty overloaded with work and assignments so I haven’t been able to dedicate as much time as I would have liked to this tutorial, even so I feel its rather complete and any gaps will be filled in by my source code.

Continue reading “Basic Neural Network Tutorial : C++ Implementation and Source Code” →