Скачать или смотреть deep learning pytorch github

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Sure, here's a tutorial on using PyTorch for deep learning, including setting up a GitHub repository and code examples.
PyTorch is a powerful open-source machine learning library used for developing and training neural network models. GitHub, on the other hand, is a popular platform for version control and collaborative development. In this tutorial, we'll explore how to use PyTorch for deep learning and manage your codebase with GitHub.
To install PyTorch, you can use pip or conda, depending on your preference and system configuration. Visit the official PyTorch website (https://pytorch.org/) for installation instructions tailored to your environment.
Let's create a basic neural network using PyTorch to classify handwritten digits from the MNIST dataset.
Now, let's push our code to the GitHub repository we created earlier.
Initialize a Git Repository:
Add and Commit Changes:
Add GitHub Remote:
Push to GitHub:
Congratulations! You've created a simple neural network using PyTorch and uploaded the code to a GitHub repository. This tutorial provides a starting point for working with deep learning in PyTorch and managing your codebase on GitHub. Feel free to explore more advanced concepts and expand your projects from here.
Remember, continuous learning and experimentation are key in the field of deep learning!
This tutorial should give you a head start in using PyTorch for deep learning and managing your codebase using GitHub. If you have any specific questions or need more detailed explanations about certain parts, feel free to ask!
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