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DL-Number-Recognition

A Multi-Layer Perceptron project written in c++ without any AI/ML libraries!

The Goal

I set out to make a replica of the MLP described in 3Blue1Brown's lectures with primarily just the C++ Standard Library.

Originally, I thought I would have to use Eigen for matrix operations (in the interest of time), but I abandoned that idea. The usage of Eigen in this project is redundant (except for the random initial values in NetworkMLP's constructor).

Build Instructions

Download:

git clone git@github.com:Davis-Rippon/DL-Number-Recognition.git

Build (make sure you're in "DL-Number-Recognition"!):

make

Future Goals (TODOs)

1. Make it quicker (parallelism, better activation function)
2. Make it flexible (change # of nodes, layers, etc.)
3. Remove Eigen

Sources

3Blue1Brown's lecture series: https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

Eigen: https://eigen.tuxfamily.org/index.php?title=Main_Page