In this fun and informative session, we’ll dive into the world of Transfer Learning and Fine-Tuning using TensorFlow and Keras! Ever wondered how AI can tell the difference between cats and dogs without starting from scratch? That’s the magic of transfer learning!

We’ll walk you through the process of leveraging a pre-trained network—a model that’s already learned to recognize general features from a large dataset—and fine-tuning it to solve a new problem: classifying images of cats and dogs. By the end of the session, you’ll understand how to take advantage of pre-trained models to save time, resources, and computing power while achieving high accuracy in image classification.

This hands-on tutorial is perfect for developers looking to get started with deep learning or anyone curious about the power of transfer learning. Whether you're working on small-scale projects or complex tasks, this session will show you how to use pre-trained models to get results fast and efficiently.

Key takeaways:
- Learn the fundamentals of transfer learning and how it applies to image classification.
- Fine-tune a pre-trained model to classify images of cats and dogs.
- Explore the practical benefits of transfer learning in saving time and improving model accuracy.