What are the best transfer learning models for image classification?

What are the best transfer learning models for image classification?

Some of the best transfer learning models for image classification include VGG16, ResNet, and InceptionV3. Each has its strengths.

Can you explain the differences between VGG16 and ResNet?

VGG16 is known for its simplicity and depth, while ResNet uses skip connections to allow for deeper networks without vanishing gradients.

Which model performs better on small datasets?

ResNet often performs better on small datasets due to its ability to generalize well, thanks to its architecture.

Are there any specific use cases where one model is preferred over the others?

Yes, for example, VGG16 is often used in applications requiring high accuracy in feature extraction, while InceptionV3 is preferred for real-time applications due to its efficiency.