Nice work! You might want to take a look at the MNIST database ( https://en.wikipedia.org/wiki/MNIST_database) which is freely available and commonly used to train neural network. It will also allow you to benchmark your implementation against other algorithms.
On Fri, Dec 6, 2019 at 10:07 AM Murilo via Digitalmars-d-announce < [email protected]> wrote: > Hi everyone. I've spent the last weeks working on a program which > is able to read and understand text from an image file(OCR) by > using a rudimentary neural network after training with a large > amount of images(I made them myself, manually). It even shows a > map of all the parts of the images that have the highest synaptic > weights(warmer colors). It was made purely in D using the arsd > library. Below is the link to it if you wish to take a look. For > now it only understands upper case letters from the English > alphabet. I'll be adding more over time. Cheers. > https://github.com/MuriloMir/Optical-Character-Recognition >
