Implementation of a Simple CNN Model for Multi-Class Image Classification

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Explore the implementation of a simple Convolutional Neural Network (CNN) for multi-class image classification using the Fashion-MNIST dataset.

This video walks you through key aspects of the project, including dataset preparation, model design, training process, hyperparameter tuning, and evaluation metrics such as confusion matrices, classification reports, and ROC curves.

Discover how CNNs excel in categorizing fashion items like T-shirts, trousers, and sneakers with an accuracy of 90%!

Perfect for beginners and enthusiasts in AI and computer vision.

🎥 Watch to learn how CNNs can revolutionize image classification tasks!

#MachineLearning #CNN #ImageClassification #FashionMNIST #AI
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