吴恩达《深度学习》学习笔记(xmind)、代码视频讲解
☆482Apr 15, 2020Updated 6 years ago
Alternatives and similar repositories for deeplearning.ai-notes
Users that are interested in deeplearning.ai-notes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆197Nov 6, 2020Updated 5 years ago
- 深度学习笔记☆818Dec 19, 2020Updated 5 years ago
- deeplearning.ai(吴恩达老师的深度学 习课程笔记及资源)☆21,202Oct 5, 2026Updated 3 weeks ago
- 吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course☆1,047Jan 19, 2022Updated 4 years ago
- Some work of Andrew Ng's course on Coursera☆721Oct 18, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆53Mar 4, 2019Updated 7 years ago
- 吴恩达老师的机器学习课程个人笔记☆38,045Oct 5, 2026Updated 3 weeks ago
- Code for the DP cross-silo federated learning paper☆11Jul 10, 2020Updated 6 years ago
- coursera吴恩达机器学习课程作业自写Python版本+Matlab原版☆968Jan 11, 2018Updated 8 years ago
- Google for Education平台的Google Developer Python Course是基于python的一门经典课程,本仓库有相关内容和代码等资料☆25Apr 22, 2019Updated 7 years ago
- 《统计学习方法》的代码实现☆19,604Oct 5, 2026Updated 3 weeks ago
- 南瓜书:《机器学习》(西瓜书)公式详解☆26,147Apr 22, 2026Updated 6 months ago
- OpenCV-Python图像处理教程☆14Jun 11, 2019Updated 7 years ago
- pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行☆21,739Jul 25, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 2018全国研究生数学建模竞赛(C题:对恐怖袭击事件记录数据的量化分析)☆12Jul 18, 2019Updated 7 years ago
- 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系sc…☆57,696Jun 26, 2024Updated 2 years ago
- 网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”,这是自己做的一些笔记以及代码。下为网易云学习链接☆205May 23, 2022Updated 4 years ago
- 项目包括了机器学习、神经网络、图像处理、NLP相关领域的基础知识和实践应用(具体可以看下文的课程大纲图或目录部分),后续会不断整理面试的知识点进来。此项目是个人学习李宏毅老师机器学习课程的学习笔记,通过笔记的方式一边巩固学习效果,一边方便后续复习。如有错误,欢迎批评指正。☆22Sep 1, 2020Updated 6 years ago
- 吴恩达深度学习课程课后编程作业☆207Jul 7, 2020Updated 6 years ago
- (完结)网易云课堂微专业《深度学习工程师》听课笔记,编程作业和课后练习☆448Jan 21, 2019Updated 7 years ago
- Tensorflow implementation of InceptionV3-SSD☆17Jun 20, 2018Updated 8 years ago
- 吴恩达深度学习编程作业原版和答案☆142Feb 13, 2020Updated 6 years ago
- Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]☆6,332Aug 5, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PCB model☆19Dec 19, 2018Updated 7 years ago
- tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials☆7,764Dec 9, 2020Updated 5 years ago
- 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。☆19,517Oct 14, 2021Updated 5 years ago
- CCL2019,“小牛杯”中文幽默计算任务的数据集及baseline☆25Aug 27, 2024Updated 2 years ago
- Learning notes of Machine Learn & Deep Learning☆12Feb 13, 2019Updated 7 years ago
- ☆372Feb 27, 2021Updated 5 years ago
- 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases☆16,839Oct 23, 2026Updated last week
- 深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.☆13,202Aug 30, 2021Updated 5 years ago
- ☆12Apr 30, 2017Updated 9 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 基于ComNet的短文本匹配网络模型☆11Jul 9, 2019Updated 7 years ago
- 数据科学的笔记以及资料搜集☆8,614Oct 5, 2026Updated 3 weeks ago
- 周志华《机器学习》手推笔记☆3,788Mar 13, 2021Updated 5 years ago
- ☆13Apr 1, 2023Updated 3 years ago
- 机器学习初学者公众号作品☆2,367Oct 5, 2026Updated 3 weeks ago
- Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现☆7,808Jun 23, 2020Updated 6 years ago
- 住房月租金预测大数据赛☆17Nov 28, 2018Updated 7 years ago