Classify Nature Images & Vegetables with CNN and EfficientNet
Автор: Amn Amine
Загружено: 2026-01-03
Просмотров: 7
Описание:
Learn how to build powerful image classification models using CNNs and EfficientNet in Python with TensorFlow! In this tutorial, we use two popular datasets—the Vegetable Image Dataset and the Natural Images dataset—to train models that can recognize multiple classes of vegetables, animals, and natural objects. Follow along as we cover data preprocessing, augmentation, model building, training, and evaluation, including accuracy curves, confusion matrices, and real predictions on sample images. Whether you’re a beginner or intermediate Python programmer, this step-by-step guide shows you how to implement modern deep learning techniques for real-world image classification projects.
Kaggle Codes :
https://www.kaggle.com/code/amineipad...
https://www.kaggle.com/code/amineipad...
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