carsayao / simple-perceptron

CS445 - Machine Learning, homework 1

usage

Install requirements with virtualenv.

First run load.py normalize and add bias to inputs. It then reads inputs and targets into binary files. Targets get processed into arrays with a '1' indicating target.

Run train.py. Takes 2 arguments: learning rate and epochs.

Both files assume /MNIST/ in repo directory.

virtual env

pip3 install virtualenv

virtualenv -p python3 env

This will install virtualenv using pip3 and create a an env folder that will contain the libraries it uses.

source env/bin/activate

This will put your shell into the virtual environment where you will have the libraries brought it. (Note: fish `. env/bin/activate.fish*)*

pip3 install -r requirements.txt

This will install the libraries that are found in requirements.txt When you are done working, use deactivate to get out of the virtual environment

log

sort arrays. (ie is it x[i][j] or other way around?)

10/24

Can weight updates be done with matrix ops? YES Test arrays with Python3 interpreter Working out algorithm