bat67/pytorch-tutorials-examples-and-books
A curated collection of PyTorch tutorials, code examples, and books for learning deep learning and neural networks.
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This repository provides structured tutorials and examples for learning PyTorch, covering fundamentals like tensors and autograd, traditional machine learning algorithms such as linear and logistic regression, and deep learning architectures including neural networks and convolutional neural networks. It serves as a comprehensive learning resource for developers getting started with PyTorch-based machine learning.
Frequently asked
- What is bat67/pytorch-tutorials-examples-and-books?
- A curated collection of PyTorch tutorials, code examples, and books for learning deep learning and neural networks.
- Is pytorch-tutorials-examples-and-books open source?
- Yes — bat67/pytorch-tutorials-examples-and-books is an open-source project tracked on heatdrop.
- What language is pytorch-tutorials-examples-and-books written in?
- bat67/pytorch-tutorials-examples-and-books is primarily written in Jupyter Notebook.
- How popular is pytorch-tutorials-examples-and-books?
- bat67/pytorch-tutorials-examples-and-books has 1.5k stars on GitHub.
- Where can I find pytorch-tutorials-examples-and-books?
- bat67/pytorch-tutorials-examples-and-books is on GitHub at https://github.com/bat67/pytorch-tutorials-examples-and-books.