🚀 How to Learn Seq2Seq Models Transformer Architecture Hands‑On Tutorial in PyTorch скачать в хорошем качестве

🚀 How to Learn Seq2Seq Models Transformer Architecture Hands‑On Tutorial in PyTorch

Ready to master the Transformer architecture from scratch? In this hands‑on tutorial, we break down the legendary Sequence‑to‑Sequence (Seq2Seq) Transformer step‑by‑step — from embeddings to attention to final predictions. Whether you’re a beginner or brushing up your deep learning skills, this video is packed with intuitive visuals, real code walkthroughs, and practical insights. What you’ll learn in this video: 🧠 How the Transformer encoder‑decoder architecture works ⚡ Why attention beats recurrence for sequence modeling 💻 How to build a Transformer from scratch in PyTorch 🌍 Real‑world use cases: translation, summarization, text generation, and more Perfect for: NLP enthusiasts ML engineers Students & educators Anyone curious about how Transformers actually work