What are some common transformations in PyTorch?
An example of an AI chatbot conversation about PyTorch transformations.
What are some common transformations I can use in PyTorch for image data?
In PyTorch, common transformations include resizing, cropping, normalization, and data augmentation techniques like flipping.
Can you explain how to apply these transformations using torchvision?
Sure! You can use the torchvision.transforms module. For example, you can use transforms.Compose to chain multiple transformations together.
What does the normalization transformation do?
Normalization scales the pixel values to a standard range, typically between 0 and 1 or -1 and 1, which helps in training.
How can I visualize the transformations applied to an image?
You can use Matplotlib to visualize images before and after transformations. Just plot them side by side.
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