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Before we jump into the code, let's get our environment ready. You'll need Python and PyTorch installed. If you don't have them already, here's how to get started. First, make sure you have Python installed on your system. You can download it from the official Python website (python.org). Next, we'll install PyTorch. You can do this using pip, the Python package installer. Open your terminal or command prompt and run the following command: `pip install torch torchvision`. This will install the necessary PyTorch packages, including `torch` and `torchvision`. `torchvision` is a library that provides datasets, model architectures, and image transformations that are commonly used in computer vision tasks. If you want to use a GPU for faster training, make sure you have a CUDA-enabled GPU and install the appropriate version of PyTorch. You can find the installation instructions on the PyTorch website, tailored to your specific CUDA version and operating system.
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