aiedward / DeepLearningTutorials-1Links
Deep Learning与PyTorch入门实战视频教程
☆40Updated 6 years ago
Alternatives and similar repositories for DeepLearningTutorials-1
Users that are interested in DeepLearningTutorials-1 are comparing it to the libraries listed below
Sorting:
- 各种深度学习结构、模型和技巧的集合☆122Updated 5 years ago
- [译] fast.ai 机器学习和深度学习中文笔记☆416Updated 4 years ago
- To know stats by heart☆285Updated 6 years ago
- Coursera 机器学习基石 机器学习技法 林轩田 课堂PPT、作业及课堂笔记。☆163Updated 7 years ago
- TensorFlow 中文教程 (Chinese Tutorials)☆397Updated 6 years ago
- 一个面向初学者的,友好的Keras入门教程☆123Updated 6 years ago
- 每日一题(涉及但不仅限于机器学习、深度学习和计算机视觉等方向)☆190Updated 7 years ago
- 本项目代码为雷明老师18年12月在清华出版社出版的《机器学习与应用》第一版中的配套代码,欢迎登录www.sigai.cn试听雷老师《机器学习》《深度学习》视频☆154Updated 6 years ago
- 机器学习&深度学习资料笔记&基本算法实现&资源整理(ML / CV / NLP / DM...)☆229Updated last year
- A deep learning library to provide algs in pure Numpy or Tensorflow.☆292Updated 7 years ago
- 《深度学习理论与实战:基础篇》代码☆136Updated 4 years ago
- ☆54Updated 6 years ago
- 吴恩达《Machine Learning Yearning》的中英文版(更新中):第1~第22章☆265Updated 7 years ago
- 论文分享☆41Updated 2 years ago
- PyTorch1.0 深度学习:60分钟入门与实战(Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习)☆190Updated 6 years ago
- 源码实现:《TensorFlow实战》黄文坚,唐源 著☆176Updated 6 years ago
- ☆274Updated 6 years ago
- (完结)Andrew NG Machine-Learning-Yearning translation documents(吴恩达《Machine Learning Yearning》中文翻译及英文原稿)☆265Updated 6 years ago
- ☆83Updated 7 years ago
- personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout,…☆224Updated 6 years ago
- 深度学习常用优化方法详解☆269Updated 8 years ago
- ☆110Updated 7 years ago
- 数据科学/人工智能比赛解决方案汇总☆531Updated 5 years ago
- 用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)☆78Updated 6 years ago
- deeplearningbook学习笔记,来自于 http://www.deeplearningbook.org☆278Updated 6 years ago
- ☆185Updated 6 years ago
- 记录Learning from data一书中的习题解答☆78Updated 6 years ago
- Deep Learning For Computer Vision With Python☆123Updated 6 years ago
- 剑指offer第二版 python代码☆67Updated 6 years ago
- This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for …☆78Updated 6 years ago