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README.md
PyTorch
PyTorch是基于Python的科学计算包，其旨在服务两类场合：
- 替代numpy发挥GPU潜能
- 提供了高度灵活性和效率的深度学习平台
PyTorch的简洁设计使得它入门很简单，本部分内容在深入介绍PyTorch之前，先介绍一些PyTorch的基础知识，让大家能够对PyTorch有一个大致的了解，并能够用PyTorch搭建一个简单的神经网络，然后在深入学习如何使用PyTorch实现各类网络结构。在学习过程，可能部分内容暂时不太理解，可先不予以深究，后续的课程将会对此进行深入讲解。
References
- code of book "Learn Deep Learning with PyTorch"
- PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
- Awesome-Pytorch-list
- PyTorch Tutorial for Deep Learning Researchers
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
- Simple examples to introduce PyTorch
- Simple PyTorch Tutorials Zero to ALL!
- 从基础概念到实现，小白如何快速入门PyTorch
机器学习越来越多应用到飞行器、机器人等领域，其目的是利用计算机实现类似人类的智能，从而实现装备的智能化与无人化。本课程旨在引导学生掌握机器学习的基本知识、典型方法与技术，通过具体的应用案例激发学生对该学科的兴趣，鼓励学生能够从人工智能的角度来分析、解决飞行器、机器人所面临的问题和挑战。本课程主要内容包括Python编程基础，机器学习模型，无监督学习、监督学习、深度学习基础知识与实现，并学习如何利用机器学习解决实际问题，从而全面提升自我的《综合能力》。
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