Predict on the Iris dataset using a neural network made in numpy

I have recently been scouring the internet in search of code for a neural network that was workable. It was a difficult task because although there is much code on the internet, much of it is not usable. I very nearly gave up my quest of finding simplistic and usable code for a neural network that could ve used on a dataset until I found a piece of code for a neural network to make predictions on the iris dataset.

A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain. It creates an adaptive system that computers use to learn from their mistakes and improve continuously.

I have written the program in Google Colab, which is a free online Jupyter Notebook hosted by Google. Google Colab is a great platform to use, except for the fact that it does not have an adequate undo function. If valuable code is accidentally overwritten or deleted, it will be necessary to go through the save history and try to…