The project revolves around creating a neural network to classify the iris plants into three species. Data used in this project is from Ronald Aylmer Fisher's 1936 paper "The use of multiple measurements in taxonomic problems". Dataset is retrieved from UCI Machine Learning's Kaggle page and is licenced as CC0: Public Domain
These sets of tests are primarily devoted to ensuring basic elements of the neural network are covered.
The following will need to be done in order to complete this issue:
Create test(s) to show each node has an input and output
Create test(s) to show hidden layer nodes and output layer nodes have exactly one bias associated with that node
Create test(s) to show given a specific input, the activation function outputs the correct output
This may require additional research regarding these elements which will be updated through comments
These sets of tests are primarily devoted to ensuring basic elements of the neural network are covered. The following will need to be done in order to complete this issue:
This may require additional research regarding these elements which will be updated through comments