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CNNs for Fashion Image Recognition, How SHIEN and Amazon Use CNN

Ever wondered how platforms like SHIEN and Amazon automatically categorize uploaded images into bags, shirts, or shoes? It's all powered by Convolutional Neural Networks (CNNs)—the same technology we'll explore in this video!

This tutorial will dive into image classification using the Fashion MNIST dataset. Learn how CNNs transform raw images into structured data, making product categorization seamless for e-commerce giants.

🔥 What You'll Learn:

How CNNs work for image recognition
Data preprocessing and model building with Fashion MNIST
Real-world applications in e-commerce and beyond
📊 Real-Life Examples:

How AI in SHIEN automatically tags fashion items
How Amazon uses CNNs to optimize product listings

Google Colab Link : https://colab.research.google.com/drive/1vv6cY5fzCfvLD20si1NbElsAyDP61gP7?usp=sharing

Github repo: https://github.com/sgdataguru/28DaysChallenge

Discord Server: https://discord.gg/GvN8pFzF

28 Challenge Playlist : https://www.youtube.com/watch?v=Tuinz05fsDU&list=PLOunRutLyZBImuDC24ijOdl5AqBnlRhaJ

Previous Video on CNN : https://www.youtube.com/watch?v=__7m_9qlmNM

LinkedIn: https://www.linkedin.com/in/maheshkumarpaik/

Telegram Link: https://t.me/maheshpaik

Instagram: https://www.instagram.com/maheshpaikk

Are there errors in any of the codes that I have explained? Mail the details of the error to maheshkumar.paik@outlook.com

Видео CNNs for Fashion Image Recognition, How SHIEN and Amazon Use CNN канала Insights and Action
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