Скачать или смотреть install pytorch and torchvision

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Sure, let's go through the steps to install PyTorch and torchvision. Before you start, make sure you have Python installed on your system.
Open your terminal or command prompt and run the following command to install PyTorch using pip:
This command will install the latest version of PyTorch.
You can verify the installation by opening a Python interpreter and running the following code:
This should print the version of PyTorch installed on your system.
Now, let's install torchvision, which is a library that provides datasets, transforms, and models for working with computer vision tasks.
Similar to PyTorch, you can verify the installation of torchvision by running the following code:
This should print the version of torchvision installed on your system.
To ensure everything is working correctly, let's write a simple PyTorch code that uses torchvision. Create a new Python script or open a Jupyter Notebook and paste the following code:
Replace 'path/to/your/dataset' with the desired path where you want to store the MNIST dataset. This code downloads the MNIST dataset, applies a transform, and prints the shape of a batch of images and labels.
Run the script, and if everything is set up correctly, you should see the shapes of the images and labels printed on the console.
Congratulations! You have successfully installed PyTorch and torchvision, and you've tested them with a simple code example. Now you're ready to dive into the world of deep learning with PyTorch.
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