What is Transfer Learning?

1. 1Apply transfer learning to a new dataset using a pre-trained model
2. 2Configure a neural network to freeze pre-trained weights and fine-tune on a target task
3. 3Build a model that leverages transfer learning to adapt to a new domain or task
4. 4Test the performance of a transfer learning-based model against a from-scratch model
5. 5Compare the training times and accuracy of models with and without transfer learning

Machine learning engineers and data scientists can benefit from understanding transfer learning to improve model accuracy and reduce training time

💡 Transfer learning allows models to leverage pre-trained knowledge, reducing training time and improving accuracy

🚀 Boost ML model performance with transfer learning! 🤖