What are PyTorch vision pretrained models?

What are PyTorch vision pretrained models?

PyTorch vision pretrained models are models that have been trained on large datasets, like ImageNet, and can be used for various computer vision tasks.

How can I use these models in my project?

You can use them by importing the models from the torchvision library and then fine-tuning them on your specific dataset.

Are there specific models you recommend for image classification?

Yes, popular models include ResNet, VGG, and EfficientNet. They all perform well for image classification tasks.

Can I use these models for transfer learning?

Absolutely! Transfer learning is one of the main advantages of using pretrained models, allowing you to leverage existing knowledge.