本文给大家推荐一本非常赞的中文版神经网络书籍，本书从基础到研究前沿介绍了深度学习的核心概念与理论。不仅能了解到全连接、卷积和循环等基本深度神经网络网络，同时还能学习到前沿的 Transformer 等模型，当然所需的数学基础在附录也都是有提供的。
而且，各种附加资料一站式配齐：从教材、讲解PPT、示例代码到课后练习，可以做到全方位无死角学习。
本文作者邱老师是复旦大学计算机科学技术学院的副教授与博士生导师，他目前主要从事自然语言处理、深度学习等方向的研究，在 ACL、EMNLP、AAAI、IJCAI 等计算机学会 A/B 类期刊、会议上发表 50 余篇学术论文。此外，邱老师还是 FudanNLP 的开发者和 FastNLP 的负责人，这两个开源项目都旨在提供更好的 NLP 工具。
邱老师个人主页：https://xpqiu.github.io/
邱老师是小编见过比较会讲课的老师之一，出品必属精品！
电子书下载
为了节约大家的时间，我已经将这份书籍的电子版，课件等 PDF 打包好了。获取步骤如下：
1.关注下方 深度学习算法与计算机视觉
2.后台回复关键词：nndl
注：建议复制，不然容易打错
▲长按关注，回复：nndl
书籍目录
部分PPT和PDF截图
电子书下载
为了节约大家的时间，我已经将这份书籍的电子版，课件等 PDF 打包好了。获取步骤如下：
1.关注下方 程序员大白
2.后台回复关键词：nndl
注：建议复制，不然容易打错
▲长按关注，回复：nndl
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本篇文章来源于: 深度学习这件小事
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