Implementasi Jaringan Saraf Tiruan (ANN) untuk Klasifikasi Spesies Bunga Iris

📰 Medium · Machine Learning

Learn to implement Artificial Neural Networks (ANN) for classifying Iris flower species using machine learning techniques

intermediate Published 18 May 2026

Action Steps

Import necessary libraries such as TensorFlow or PyTorch to build the ANN model
Load the Iris dataset and preprocess the data for training
Configure the ANN architecture with suitable layers and activation functions
Train the model using the preprocessed data and evaluate its performance
Apply the trained model to classify new, unseen Iris flower species data

Who Needs to Know This

Data scientists and machine learning engineers can benefit from this article to improve their skills in classification tasks, while software engineers can learn about integrating ML models into their applications

Key Insight

💡 Artificial Neural Networks can be effectively used for classification tasks such as identifying Iris flower species