Vision Transformer explained in detail | ViTs

Описание: Welcome to this **beginner-friendly guide to Vision Transformers (ViTs)**! 🚀

In this video, we break down the core concepts of *Vision Transformers* in a simple and easy-to-follow way, helping you understand how Transformers are applied to **computer vision tasks**.

📌 *What You’ll Learn:*
✅ *Linear Projection* – How image patches are transformed into embeddings
✅ *Multihead Attention Layer* – Understanding query, key, and value, and how the model focuses on important information
✅ *Patch Embeddings & Self-Attention* – Key concepts that make Vision Transformers work
✅ How ViTs differ from traditional CNNs for image classification and other vision tasks

💡 *Who This Video is For:*
Beginners exploring Vision Transformers and Transformers for computer vision
Students and developers learning deep learning and AI
Anyone interested in modern AI techniques for image processing

💬 *Engage with Us:*
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