Neural Network Using C++
Description
This model was created entirely in C++ from scratch. It classifies that MNIST handwritten dataset. The model allows for easy alterations to the existing model architecture and includes multiple types of weight initialization and different activation functions. Models have achieved a 98% accuracy on the testing dataset. Future development will continue in areas such as additional activation functions and multiple types of loss functions. The source code can be found via the link above.