perceptron-learning-algorithm

Description

The code used on this repo was developed to classify linearly separable data.

The data used for this code comes from the Iris dataset. This dataset can be accessed clicking in the following link: Iris Data Set

Features

The attributes on this dataset are the measurements of the width and length of the petals and sepals of different types of iris flowers. There are four features of float data.

Classes

• Class 1 : Iris Setosa
• Class 2 : Iris Versicolor
• Class 3 : Iris Virginica

- - - TODO - - -

• LOAD AND VISUALIZE THE RAW DATA

  • Load the dataset
  • Visualize the data

• DATA PREPROCESSING

  • Split data into training and testing sets

• MODEL ARCHITECTURE

  • Define network parameters
  • Define network structure
  • Execute the model
  • Visualize model improvements
  • Visualize confusion matrix
  • Add epoch configuration

• OTHERS [OPTIONAL]

  • Update README file
  • Plot the resulting regression model