fixed dimensions issue with the iris dataset

having some issues with backprop when trying to use the iris dataset

fixing train test split issue with iris dataset

trying to move forwards with the iris dataset

working with serializing the model with to_dict()

produced a solution to the problem of funcions not being accessed

cutting the front end mess and just using this as a backend api

splitting up some backprop functions that may have been too long

working on making it just a flask app, got rid of the main.py stuff

we should try to do this with regression on a simple dataset from the internet somewhere because I think it is hard to see how well it is doing with completley random data

plot functionality'

computing loss history over time

got it working! now I want to make it so that we can have more than just one node in the middle

making more modular so we can develop our other methods too

believe to be performing backprop with the weights without error

better organization for generalization once we add other methods and such

just focusing on neural_network first

working on setting up the neural_network functionality