This repository contains code and documents that I use as a a workspace for learning about neural networks.
As of this writing this repository has two main parts documented seperately:
- A simple perceptron, a study of a single-neuron artificial neural network and its bench marking, reimplimented in various programming languages. This part is automated by a makefile that runs the benchmarks and produces a logfile and a report. The R language result from the 2nd part (below) is manually added to benchmarks.
- One and two-layer perceptrons* Implemented in R studio as a notebook. The R notebook is managed seperately via RStudio.
* A work in progress