Head over to the test folder in order to see some examples. If you want to run the MNIST test, then you should download the MNIST dataset from kaggle: https://www.kaggle.com/darkgeekms/text-file-for-mnist-dataset/data and then put the file Train.txt into the main directory: NeuralNetwork/

• To run all of these tests, cd into the test directory and simply type make in terminal.
• To run only the MNIST test, simply type: make MNIST
• To run only the apply_grad test, simply type: make Grad
• To run only the Simple test, simply type: make Simple
• To run only the AutoEncoder test, simply type: make AutoEncoder

The 3blue1brown neural network youtube series really helped me here: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

This version only runs on the CPU (single-thread), however running a neural network on a GPU is faster and popular among the AI community, and I plan on doing implementing that. However, I am working with a Mac, therefore I can't program the GPU (I could do this on the programming language swift, but I don't like this programming language and I would love to make this project 100% C++ / CUDA). I will have to wait to get a Windows computer with a CUDA-enabled GPU to implement this.

Any questions contact me: [email protected] Made by Eshaan Barkataki