Knowledge Distillation in Machine Learning: Full Tutorial with Code

Описание: In this video, we dive deep into Knowledge Distillation, a powerful technique to compress large, complex models (teacher models) into smaller, faster, and more efficient ones (student models) — without losing much performance!

We'll walk you through:

✅ What knowledge distillation is and why it matters
✅ The theory behind it
✅ Step-by-step implementation in Python (with PyTorch)
✅ Live coding: building both the teacher and student models

This is perfect for ML beginners and intermediate learners who want to optimize their models for deployment on edge devices, mobile apps, or real-time inference systems.

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#MachineLearning #KnowledgeDistillation #ModelCompression #DeepLearning #MLTutorial #Python #AI #PyTorch #TensorFlow