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Title: GitHub - wangslo/Deep-Learning: 深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新…… · GitHub

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https://github.com/wangslo/Deep-Learning#deep-learning持续更新中
年轻人怎么办：AI将取代50%的岗位与技能https://zhuanlan.zhihu.com/p/44275076
https://github.com/wangslo/Deep-Learning#一-python篇
https://github.com/wangslo/Deep-Learning#基础环境
最省心的Python版本和第三方库管理——初探Anacondahttps://zhuanlan.zhihu.com/p/25198543
https://github.com/wangslo/Deep-Learning#开发语言
从0到1，Python Web开发的进击之路https://zhuanlan.zhihu.com/p/25038203
从0到1，Python异步编程的演进之路https://zhuanlan.zhihu.com/p/25228075
国外著名python在线编程学习网站https://www.codecademy.com/
国内Python在线学习网站http://www.runoob.com/python/python-tutorial.html
以撸代码的形式学习Pythonhttps://github.com/xianhu/LearnPython
重磅！Google开源！Swift or Python？https://zhuanlan.zhihu.com/p/36228084
https://github.com/wangslo/Deep-Learning#实例练习
天猫双12爬虫（福利：266万条商品数据免费下载）https://zhuanlan.zhihu.com/p/24312829
新浪微博爬虫分享（一天可抓取 1300 万条数据）http://blog.csdn.net/bone_ace/article/details/50903178
如何用100行Python代码做出魔性声控游戏“八分音符酱”https://zhuanlan.zhihu.com/p/25499306
50行代码爬网页图片一例https://zhuanlan.zhihu.com/p/28680797
https://github.com/wangslo/Deep-Learning#爬虫框架
Scrapy, a fast high-level web crawling & scraping framework for Python.https://github.com/scrapy/scrapy
admin ui for scrapy/open source scrapinghubhttps://github.com/DormyMo/SpiderKeeper
Visual scraping for Scrapyhttps://github.com/scrapinghub/portia
简单易用的Python爬虫框架https://github.com/xianhu/PSpider
参考https://zhuanlan.zhihu.com/p/23229114
https://github.com/wangslo/Deep-Learning#二-深度学习篇
https://github.com/wangslo/Deep-Learning#深度学习
【经典】机器学习必看的5张图https://zhuanlan.zhihu.com/p/37288569
神经网络与深度学习导引（吴恩达）https://zhuanlan.zhihu.com/p/29045731
【入门推荐】10行命令感受机器学习的神奇（0基础小白适用）https://zhuanlan.zhihu.com/p/27303650
深度学习入门信息汇总-知乎https://www.zhihu.com/question/26006703
如何用70行Java代码实现深度神经网络算法http://geek.csdn.net/news/detail/56086
【经典书籍】Deep Learning Book Chinese Translationhttps://github.com/exacity/deeplearningbook-chinese
驾驭AI：好的数据集是成功的一半https://zhuanlan.zhihu.com/p/33782177
快速搭建有趣的人工智能应用https://zhuanlan.zhihu.com/p/33378716
Google Cloud AutoML初体验https://zhuanlan.zhihu.com/p/33112756
卷积神经网络简介https://zhuanlan.zhihu.com/p/25249694
https://github.com/wangslo/Deep-Learning#算法概述
机器学习基础算法https://exacity.github.io/deeplearningbook-chinese/Chapter5_machine_learning_basics/
随机森林算法概述http://www.cnblogs.com/maybe2030/p/4585705.html
BP神经网络算法概述http://blog.csdn.net/zhongkejingwang/article/details/44514073
监督机器学习的优化方法：从线性模型到深度学习https://arxiv.org/abs/1706.10207
Adam：随机优化的一种方法https://arxiv.org/abs/1412.6980
训练神经网络的5种算法https://www.neuraldesigner.com/blog/5_algorithms_to_train_a_neural_network
https://github.com/wangslo/Deep-Learning#在线课程
吴恩达给你的人工智能第一课【初学推荐】http://mooc.study.163.com/smartSpec/detail/1001319001.htm?forcelogin=true&edusave=1
Deep Learning Specialization Master Deep Learning, and Break into AI【原版附带习题】https://www.coursera.org/specializations/deep-learning#courses
斯坦福监督学习课程http://ufldl.stanford.edu/tutorial/supervised/LogisticRegression/
斯坦福李飞飞-深度学习计算机视觉http://study.163.com/course/courseMain.htm?courseId=1003223001
https://github.com/wangslo/Deep-Learning#研究论文
Artificial Intelligence(人工智能)https://arxiv.org/list/cs.AI/recent
Computer Vision and Pattern Recognition(计算机视觉和模式识别)https://arxiv.org/list/cs.CV/recent
awesome-deep-learning-papers:The most cited deep learning papershttps://github.com/terryum/awesome-deep-learning-papers
Deep Learning papers reading roadmap for anyonehttps://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap
awesome-deep-learning:A curated list of awesome Deep Learning tutorials, projects and communities.https://github.com/ChristosChristofidis/awesome-deep-learning
Efficient and Robust Automated Machine Learninghttp://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf
Microsoft COCO: Common Objects in Contexthttps://arxiv.org/pdf/1405.0312.pdf
Speed/accuracy trade-offs for modern convolutional object detectorshttps://arxiv.org/pdf/1611.10012.pdf
https://github.com/wangslo/Deep-Learning#tensorflow
TF:An open-source software library for Machine Intelligencehttps://github.com/tensorflow/tensorflow
TensorFlow Guide 中文开发手册https://cloud.tencent.com/developer/doc/1241
Swift for TensorFlow documentation repository.https://github.com/tensorflow/swift
Swift for TensorFlow Design Overviewhttps://github.com/tensorflow/swift/blob/master/docs/DesignOverview.md
Using Swift for TensorFlowhttps://github.com/tensorflow/swift/blob/master/Usage.md
https://github.com/wangslo/Deep-Learning#caffe
Caffe: a fast open framework for deep learning.https://github.com/BVLC/caffe
https://github.com/wangslo/Deep-Learning#torch
Torch is a scientific computing framework for machine learning algorithms that puts GPUs firsthttps://github.com/torch/torch7
Code and data for paper "Deep Photo Style Transfer"https://github.com/luanfujun/deep-photo-styletransfer
https://github.com/wangslo/Deep-Learning#keras
keras:Deep Learning library for TensorFlow and Theanohttps://github.com/fchollet/keras
keras-rl:Deep Reinforcement Learning for Kerashttps://github.com/matthiasplappert/keras-rl
小白上手第一步：hello world!https://github.com/fastforwardlabs/keras-hello-world
小白上手进击之：mnisthttps://github.com/wxs/keras-mnist-tutorial/blob/master/MNIST%20in%20Keras.ipynb
https://github.com/wangslo/Deep-Learning#deepmind
DNC/L2L/..（Deepmind开源代码汇总）https://deepmind.com/research/open-source/open-source-code/
Github Index（Deepmind官方GitHub）https://github.com/deepmind
DNC:A TensorFlow implementation of the Differentiable Neural Computer.https://github.com/deepmind/dnc
sonnet:TensorFlow-based neural network libraryhttps://github.com/deepmind/sonnet
lab:A customisable 3D platform for agent-based AI researchhttps://github.com/deepmind/lab
Deepmind org lab pagehttps://deepmind.com/blog/open-sourcing-deepmind-lab/
L2L PAPER:Learning to learn by gradient descent by gradient descenthttps://arxiv.org/pdf/1606.04474.pdf
Google is finding ways to make money from Alphabet's DeepMind A.I. technologyhttps://www.cnbc.com/2018/03/31/how-google-makes-money-from-alphabets-deepmind-ai-research-group.html
https://github.com/wangslo/Deep-Learning#训练平台
image-net:计算机视觉系统识别项目http://www.image-net.org/
The Home of Data Science & Machine Learninghttps://www.kaggle.com/
CLOUD AUTOML ALPHAhttps://cloud.google.com/automl/
Visual Intelligence Made Easyhttps://www.customvision.ai/
Use AI to Build AIhttps://www.oneclick.ai/
https://github.com/wangslo/Deep-Learning#辅助工具
数据可视化分析工具汇总https://zhuanlan.zhihu.com/p/25780330
A powerful, interactive charting and visualization library for browserhttp://echarts.baidu.com/examples.html
Google机器学习可视化工具Facets：从全新角度观察数据https://github.com/pair-code/facets
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web applicationhttps://github.com/apache/incubator-superset
CUDA在线学习http://www.nvidia.cn/object/cuda_education_cn_old.html
A distributed tracing system, and APM ( Application Performance Monitoring )https://github.com/apache/incubator-skywalking
https://github.com/wangslo/Deep-Learning#场景应用
垃圾邮件/情绪分析/智能客服等：Library for fast text representation and classification.https://github.com/facebookresearch/fastText
脸部识别：The world's simplest facial recognition api for Python and the command line.https://github.com/ageitgey/face_recognition
Android物体识别APP：Fast-RCNN and Scene Recognition using Caffehttps://github.com/tzutalin/Android-Object-Detection
Google物体识别API：Object_Detection_Tensorflow_APIhttps://github.com/priya-dwivedi/Deep-Learning/blob/master/Object_Detection_Tensorflow_API.ipynb
对于谷歌开源的TensorFlow Object Detection API视频物体识别系统实现教程http://blog.csdn.net/xiaoxiao123jun/article/details/76605928
Facebook AI 负责人：深度学习技术趋势报告（2016）https://mp.weixin.qq.com/s/fgVcpZvzr0WE8eP0gSRQdw
https://github.com/wangslo/Deep-Learning#三-数学篇
https://github.com/wangslo/Deep-Learning#导数微积分
logistic等各类回归/线性分析/向量机http://www.cnblogs.com/jerrylead/tag/Machine%20Learning/
https://github.com/wangslo/Deep-Learning#深度学习精简版
线性代数https://exacity.github.io/deeplearningbook-chinese/Chapter2_linear_algebra/
概率与信息论https://exacity.github.io/deeplearningbook-chinese/Chapter3_probability_and_information_theory/
数值计算https://exacity.github.io/deeplearningbook-chinese/Chapter4_numerical_computation/
https://github.com/wangslo/Deep-Learning#四-产业篇
https://github.com/wangslo/Deep-Learning#重大政策
【重磅！】国务院关于印发新一代人工智能发展规划的通知http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm
https://github.com/wangslo/Deep-Learning#重要进展
China is building a giant $2.1 billion research park dedicated to developing A.I.https://www.cnbc.com/2018/01/03/china-is-building-a-giant-2-point-1-billion-ai-research-park.html
当量子计算遇上人工智能http://it.people.com.cn/n1/2018/0402/c1009-29901958.html
https://github.com/wangslo/Deep-Learning#产业新闻
人工智能：新技术的“双刃剑”http://www.edu.cn/xxh/ji_shu_ju_le_bu/rgzn/201804/t20180402_1593248.shtml
Five Ways Machine Learning Can Save Your Company From A Security Breach Meltdownhttps://www.forbes.com/sites/louiscolumbus/2018/03/26/five-ways-machine-learning-can-save-your-company-from-a-security-breach-meltdown/#610afd7d2585
谷歌宣布在中国成立人工智能研究中心https://cn.nytimes.com/business/20171214/google-ai-china/
谷歌AI中心成立！中国成为全世界的AI猎场http://www.jiemian.com/article/1828941.html
李飞飞离职谷歌云重返斯坦福，Andrew Moore接任AI总帅http://www.sohu.com/a/253180071_99970711
李飞飞确认将离职 谷歌云AI总帅换人http://tech.sina.com.cn/csj/2018-09-11/doc-ihiixyeu5950354.shtml
全球100家代表性AI公司https://www.jiqizhixin.com/articles/2018-01-10-5
https://github.com/wangslo/Deep-Learning#附top深度学习项目
https://github.com/wangslo/Deep-Learning#最后更新star5000排序-20180127
TensorFlowhttps://github.com/tensorflow/tensorflow
TensorFlow Modelshttps://github.com/tensorflow/models
Kerashttps://github.com/fchollet/keras
Caffehttps://github.com/BVLC/caffe
TensorFlow Exampleshttps://github.com/aymericdamien/TensorFlow-Examples
Neural Stylehttps://github.com/jcjohnson/neural-style
CNTKhttps://github.com/Microsoft/CNTK
MXNethttps://github.com/dmlc/mxnet
Deep Dreamhttps://github.com/google/deepdream
OpenAI Gymhttps://github.com/openai/gym
OpenFacehttps://github.com/cmusatyalab/openface
ConvNet JShttps://github.com/karpathy/convnetjs
Magentahttps://github.com/tensorflow/magenta
Roc AlphaGohttps://github.com/Rochester-NRT/RocAlphaGo
Neural Doodlehttps://github.com/alexjc/neural-doodle
deeplearning4jhttps://github.com/deeplearning4j/deeplearning4j
Theanohttps://github.com/Theano/Theano
Torchhttps://github.com/torch/torch7
TFLearnhttps://github.com/tflearn/tflearn
Char RNNhttps://github.com/karpathy/char-rnn
TensorFlow Playgroundhttps://github.com/tensorflow/playground
Synaptichttps://github.com/cazala/synaptic
Nupichttps://github.com/numenta/nupic
Leafhttps://github.com/autumnai/leaf
Readme https://github.com/wangslo/Deep-Learning#readme-ov-file
Please reload this pagehttps://github.com/wangslo/Deep-Learning
Activityhttps://github.com/wangslo/Deep-Learning/activity
0 forkshttps://github.com/wangslo/Deep-Learning/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fwangslo%2FDeep-Learning&report=wangslo+%28user%29
Releaseshttps://github.com/wangslo/Deep-Learning/releases
Packages 0https://github.com/users/wangslo/packages?repo_name=Deep-Learning
Please reload this pagehttps://github.com/wangslo/Deep-Learning
Contributorshttps://github.com/wangslo/Deep-Learning/graphs/contributors
Please reload this pagehttps://github.com/wangslo/Deep-Learning
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Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.