《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
Learn deep learning through practical examples and projects in a comprehensive guide for beginners and advanced users.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
PyTorch-Tutorial-2nd has 4.6k stars on GitHub. It has been forked 491 times. PyTorch-Tutorial-2nd is written mainly in Jupyter Notebook. It has been in active development since 2021. Its main topics are computer-vision, deepsort, diffusion-models, llm.
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
PyTorch-Tutorial-2nd is an open-source project.
Yes. PyTorch-Tutorial-2nd is free and open source — you can use, modify and self-host it.
PyTorch-Tutorial-2nd is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/tingsongyu-pytorch-tutorial-2nd.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.