Basic Neural Network

Basic neural network with one hidden layer. Network takes in 2 inputs, and generates one continuous output.

Each synpase uses a sigmoid activation function.

Gradient descent is done by a BFGS algorithm

Steps to run locally

1. clone the repo locally by running the command git clone https://github.com/Alexander-Wen/basic-neural-network

TODO

• add more layers
• create real training data
• create real test data
• create class to determine accuracy of data
• fix that one bug

Note

The training data and testing data are randomly generated, so the results will be highly incorrect.