neural_networks_101

Description

This repository provides simple scripts and examples to demonstrate how neural networks (NN) and machine learning (ML) in general can be used for tasks like image recognition or general function approximation.

Installation and Setup

To execute the code provided in this repository, you need a python3 environment with the following packages installed: numpy, scipy, pytorch, matplotlib. Probably the easiest way is using Anaconda. The required libraries can then be installed with

pip install -r requirements.txt

You also need to add the source code to your python path to make the modules of this repository visible to your python environment. You can do so bei either setting the $PYTHONPATH variable temporarily by typing export PYTHONPATH="/home/.../neural_networks_101/:$PYTHONPATH") in your terminal or by adding it to your .bashrc with

echo "export PYTHONPATH=/home/.../neural_networks_101/:$PYTHONPATH" >> ~/.bashrc

where /home/.../ has to be changed to the path this repository is located in.

Usage

License

This software runs under the GNU General Public License 3.0.