@_rohit_tiwari_: PyTorch Fundamentals: Your First Steps into Hands-on Deep Learning. Github (900+ stars): https://github.com/analyticalr…
Summary
A beginner-friendly GitHub repository covering PyTorch fundamentals, including tensor initialization, operations, indexing, and reshaping, with over 900 stars.
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PyTorch Fundamentals: Your First Steps into Hands-on Deep Learning. Github (900+ stars): https://github.com/analyticalrohit/pytorch_fundamentals… Introduction to PyTorch fundamentals, covering tensor initialization, operations, indexing, and reshaping.
analyticalrohit/pytorch_fundamentals
Source: https://github.com/analyticalrohit/pytorch_fundamentals
PyTorch Fundamentals: Your First Steps into Hands-on Deep Learning
Overview
Introduction to PyTorch fundamentals, covering tensor initialization, operations, indexing, and reshaping.
Install Dependencies
pip install -r requirements.txt
If you’re installing torch with CUDA support, make sure to use the correct installation command from PyTorch’s official website, as some versions require a specific installation method.
Contents
- What are Tensors?
- Tensor Initialization
- Common Tensor Initialization Methods
- Tensor Type Conversion
- Converting Between NumPy Arrays and Tensors
- Tensor Mathematics and Comparison Operations
- Matrix Multiplication and Batch Operations
- Broadcasting and Other Useful Operations
- Tensor Indexing
- Tensor Reshaping
Code Notebook
Dive into the hands-on examples in this interactive Jupyter notebook.
Newsletter
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Blog Post
Read the full breakdown and insights in the accompanying blog post.
Contributing
We welcome contributions from the community! If you have an addition or improvement to suggest:
- Fork the repository
- Create your feature branch:
git checkout -b feature/PytorchTopic - Commit your changes:
git commit -m 'Add some PytorchTopic' - Push to the branch:
git push origin feature/PytorchTopic - Open a pull request
License
This project is licensed under MIT License
⭐️ If you find this repository helpful, please consider giving it a star!
Keywords: AI, Machine Learning, Deep Learning, PyTorch, Generative AI, LLMs, AI Agents
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