NeuralNetwork-Example-Python

This is a python implementation of a fully-connected NN with Adam optimization algortihmn. In this example we are demonstrating a simple 2D Point classification example.

Contents

All the code can be found in the .ipynb file wich is a Jupyter Notebook. For a visual representation of the code go to https://evanwonisch.github.io/NeuralNetwork-Example-Python/

Watch training

See training.mp4 for an overview of the training progress