josetorronteras/mlp-keras-iris-dataset
Multilayer Perceptron (MLP) for multi-class classification for iris dataset.
This project helps data science students and machine learning beginners learn how to classify different types of flowers using their physical measurements. You input the sepal and petal measurements of an Iris flower, and it outputs the predicted species of the flower. This is ideal for those new to machine learning who want to understand how a neural network can sort items into categories.
Use this if you are learning the basics of machine learning and want a clear, step-by-step example of how to build a classification model.
Not ideal if you need to classify complex, real-world data or are looking for advanced neural network architectures.
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Last pushed
Feb 18, 2026
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