Fashion MNIST Classification using CNN | Deep Learning Practical 2 | Anuj Barve

In this video, learn how to create a Convolutional Neural Network (CNN) to classify fashion clothing images from the Fashion MNIST Dataset. This hands-on tutorial is designed for Deep Learning Practical 2 under SPPU and similar academic courses.

📌 In this DL Practical 2 Tutorial, you will learn:
✅ How to load and preprocess the Fashion MNIST dataset
✅ How to design and build a CNN classifier
✅ Classify images into fashion clothing categories (e.g., T-shirt, sneaker, coat)
✅ Perform model training, evaluation, and accuracy analysis
✅ Visualize predictions and confusion matrix

🖥️ Technologies & Tools Used:
• Python
• TensorFlow / Keras
• Jupyter Notebook / Google Colab

🎓 Ideal for:
• SPPU Deep Learning Practicals
• Students learning Image Classification
• Beginners in CNNs and Computer Vision
• Final Year Engineering Projects

Видео Fashion MNIST Classification using CNN | Deep Learning Practical 2 | Anuj Barve канала Anuj Barve