Fine-Tuning in Deep Learning Explained Simply 🔥 | Transfer Learning Tutorial for Beginners

Fine-Tuning in Deep Learning | Transfer Learning Tutorial for Beginners
Are you confused about what fine-tuning in deep learning really means? In this easy-to-follow video, we break down the concept of fine-tuning in transfer learning step-by-step with real-world examples.

Whether you're a beginner or revising for exams, this video will help you understand:
✅ What is Fine-Tuning?
✅ Why Fine-Tuning is useful
✅ How to apply Fine-Tuning (Step-by-Step Guide)
✅ Real-life examples and popular pre-trained models like ResNet, VGG, and BERT
✅ Optimization tips like freezing layers, learning rate schedules, and more

💡 Ideal for students of:

Artificial Intelligence & Data Science

Machine Learning / Deep Learning

BTech, MTech, or Computer Science courses

Anyone learning Python, TensorFlow, or PyTorch