How can I train a pretrained model using PyTorch?
An example of an AI chatbot conversation about training pretrained models in PyTorch.
How can I train a pretrained model using PyTorch?
You can fine-tune a pretrained model in PyTorch by loading the model, modifying the final layers, and then training it on your dataset.
What are some common pretrained models I can use?
Common pretrained models include ResNet, VGG, and Inception, which are available in the torchvision library.
How do I load a pretrained model in PyTorch?
You can load a pretrained model using torchvision.models like this: model = torchvision.models.resnet50(pretrained=True).
What if I want to use a custom dataset?
You can create a custom dataset class and use it with a DataLoader to feed your data into the model for training.
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