mrousavy/brabenetz

🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores

brabenetz's Issues

Use NetworkTopology instead of arrays

Concept:

Use vector<T>s instead of all those T* arrays (T: double), meaning we don't need

• the NetworkTopology to array copy (FillWeights(..) function)
• to store sizes
• to use those complicated array accesses
• to use those complicated delete[]s

Pros:

• Much more readable
• Easier to maintain

Cons:

• Slower (but how much? TODO: Benchmark it)

Compile with g++

Compile BrabeNetz Library Project for *nix systems with g++

(optionally: Build a console app for *nix systems aswell)

Handwritten digit recognizing Qt App

• Reading from the MNIST Dataset in the correct way (little/big endian) does not work right now
• Qt App front end needs to be created
• How do I need to compile BrabeNetz library to use it in Qt? q++?

Fix backpropagation

Backpropagation does not work, it seems like something is cancelling itself out.

After 1000 trainings, 4 times each possibility the network's outputs have changed for a maximum of +/- 0.01.

Backpropagation Function is here.

See this for an explanation of all arrays/members of the network class.