JavaScript implementation of simple multilayer perceptron (MLP) with backpropagation learning algorithm.
Currently the network has one hidden layer and one output.
Features:
- use data from an external csv file
- save trained network to external file for future use
- save results to external csv
- error progression image
- clone repository
- install dependencies with "npm i"
- create a folder in the root of the project called "current_dataset"
- put both the training and test file in this new folder
- set the variables in the .env file
- run with "npm run start"