What are some applications of PyTorch vision pretrained models?
PyTorch vision pretrained models are widely used in image classification, object detection, and segmentation tasks.
Can you give me an example of a specific model and its application?
Sure! The ResNet model is often used for image classification tasks, achieving high accuracy on datasets like ImageNet.
How do I fine-tune a pretrained model for my own dataset?
You can fine-tune a pretrained model by replacing the final layer with a new one that matches your dataset's classes and then training it on your data.
What libraries do I need to use for this?
You'll need PyTorch and torchvision libraries, which provide the pretrained models and necessary utilities for training.
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