<ul><li>To use CUDA with PyTorch, make sure that you have an Nvidia GPU and install the CUDA toolkit.</li><li>PyTorch’s integration with CUDA is seamless and allows tensors and models to be moved to the GPU.</li><li>Training a computer vision model from scratch requires a dataset, and in this example, ImageNet-1k is used.</li><li>Using CUDA with PyTorch significantly reduces training times and enables handling larger, more complex datasets.</li></ul>

Image Classification — Computer Vision From Scratch (pt. 5)

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