Learning about the details of Machine Learning and Neural Networks by implementing one in Golang (also learning about Golang). This project heavily relies on gonum, a data science library for Go, similar to numpy.

You will need the following to run this project:

• Go programming language
• MNIST data sets as CSV, available from this source, placed into the data/ directory

  curl https://pjreddie.com/media/files/mnist_train.csv -o data/mnist_train.csv
  curl https://pjreddie.com/media/files/mnist_test.csv -o data/mnist_test.csv

Restore the project's dependencies by running:

go get -u ./...

(I think? I'm not 100% clear on Go package management, and whether you have to explicitly install dependencies)

Run the main project with:

go run src/main/main.go

• A lot of this project is inspired by following this book, by Michael Nielsen