sangyx / D2l Torch
《动手学深度学习》 PyTorch 版本
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d2l-torch
首先感谢《动手学深度学习》的原作者及贡献者为我们提供了一本极其优秀的书籍。如果您对框架没有特定偏好或需求，不妨尝试MXNet，一款极其优秀的深度学习框架。
原书地址：http://zh.d2l.ai/，原书视频教程：B站，youtube
本书在原书(19年5月20日版本)基础上将所有代码改用 PyTorch 进行实现，并以注的形式对部分内容的进行了解释与扩展。因为 PyTorch 与 MXNet 在设计上存在不同，对原书部分内容进行了删改。
请按照目录toc.ipynb中的顺序阅读学习。
如果你喜欢这本书，请给本项目点个star，并购买原书纸质版支持原作者及贡献者。
项目未来短期内不再更新，如需要计算性能、计算机视觉两章可使用项目Dive-into-DL-PyTorch。如有疑问欢迎使用issue。
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