机器学习教程总结

系统管理员 2022-05-30 01:25 203阅读 0赞

## 灵魂追问 | 教程那么多，你……看完了吗？ ##

机器之心整理

参与：路雪、蒋思源

> 2017年，人工智能技术出现了很多新的技术和发展，在这一年中机器之心发布了很多教程类文章，有适合入门学习者的，有适合已经具备专业知识和实践经验的从业者的；有关于语言的，有关于框架的，有关于硬件配置的，甚至还有关于猫片、漫画的……

教程那么多，你……看完了吗？  
  
本文对这一年来机器之心发布的教程进行总结，共分为 What 和 How 两大部分，在两大板块下又进行细分，目录如下：

What

*  概念

*  机器学习基础
 *  深度模型基础
 *  强化学习基础

*  数学

How

*  致初学者
 *  课程
 *  算法实现

*  机器学习基础实现
 *  深度网络基础实现
 *  计算机视觉实现
 *  自然语言处理实现
 *  强化学习实现
 *  深度学习框架

*  工具方法
 *  云端
 *  边缘设备
 *  硬件
 *  吃喝玩乐撸撸猫
 *  ## Money, Money, Money ##

#     #

# What #

## 概念 ##

1. 机器学习基础

*  [一文读懂机器学习、数据科学、人工智能、深度学习和统计学之间的区别][Link 1]
 *  [人人都能读懂的无监督学习：什么是聚类和降维？][Link 2]
 *  [如何解读决策树和随机森林的内部工作机制？][Link 3]
 *  [教程 | 拟合目标函数后验分布的调参利器：贝叶斯优化][Link 4]
 *  [入门 | 区分识别机器学习中的分类与回归][Link 5]
 *  [深度 | 思考VC维与PAC：如何理解深度神经网络中的泛化理论？][_ _VC_PAC]
 *  [教程 | 理解XGBoost机器学习模型的决策过程][_ _XGBoost]
 *  [业界 | 似乎没区别，但你混淆过验证集和测试集吗？][Link 6]
 *  [教程 | 初学者如何学习机器学习中的L1和L2正则化][_ _L1_L2]
 *  [机器学习算法集锦：从贝叶斯到深度学习及各自优缺点][Link 7]
 *  [入门 | 机器学习新手必看10大算法][_ _10]
 *  [教程 | 详解支持向量机SVM：快速可靠的分类算法][_ _SVM]
 *  [干货 | 详解支持向量机（附学习资源）][Link 8]
 *  [教程 | 遗传算法的基本概念和实现（附Java实现案例）][_ _Java]
 *  [教程 | 利用达尔文的理论学习遗传算法][Link 9]
 *  [深度 | 详解可视化利器t-SNE算法：数无形时少直觉][_ _t-SNE]
 *  [入门 | 如何构建稳固的机器学习算法：Boosting&Bagging][_ _Boosting_Bagging]
 *  [资源 | 神经网络调试手册：从数据集与神经网络说起][Link 10]
 *  [观点 | 三大特征选择策略，有效提升你的机器学习水准][Link 11]
 *  [教程 | 如何为单变量模型选择最佳的回归函数][Link 12]
 *  [机器学习老中医：利用学习曲线诊断模型的偏差和方差][Link 13]
 *  [教程 | 如何为时间序列数据优化K-均值聚类速度？][_ _K-]
 *  [入门 | 将应用机器学习转化为求解搜索问题][Link 14]
 *  [从重采样到数据合成：如何处理机器学习中的不平衡分类问题？][Link 15]

2. 深度模型基础

*  [从零开始：教你如何训练神经网络][Link 16]
 *  [教程 | 深度学习初学者必读：张量究竟是什么？][Link 17]
 *  [解读 | 通过拳击学习生成对抗网络（GAN）的基本原理][_ _GAN]
 *  [干货 | 直观理解GAN背后的原理：以人脸图像生成为例][_ _GAN 1]
 *  [教程 | 从基本概念到实现，全卷积网络实现更简洁的图像识别][Link 18]
 *  [资源 | 初学者指南：神经网络在自然语言处理中的应用][Link 19]
 *  [教程 | 深度学习：自动编码器基础和类型][Link 20]
 *  [入门 | 请注意，我们要谈谈神经网络的注意机制和使用方法][Link 21]
 *  [教程 | 经典必读：门控循环单元（GRU）的基本概念与原理][_ _GRU]
 *  [入门 | 迁移学习在图像分类中的简单应用策略][Link 22]
 *  [解读 | 如何从信号分析角度理解卷积神经网络的复杂机制？][Link 23]
 *  [教程 | 无监督学习中的两个非概率模型：稀疏编码与自编码器][Link 24]
 *  [深度 | 从任务到可视化，如何理解LSTM网络中的神经元][_ _LSTM]
 *  [教程 | 将注意力机制引入RNN，解决5大应用领域的序列预测问题][_ _RNN_5]
 *  [教程 | 听说你了解深度学习最常用的学习算法：Adam优化算法？][_ _Adam]
 *  [教程 | 如何解决LSTM循环神经网络中的超长序列问题][_ _LSTM 1]
 *  [教程 | 一个基于TensorFlow的简单故事生成案例：带你了解LSTM][_ _TensorFlow_LSTM]
 *  [教程 | 如何判断LSTM模型中的过拟合与欠拟合][_ _LSTM 2]
 *  [教程 | 如何估算深度神经网络的最优学习率][Link 25]
 *  [教程 | 如何为神经机器翻译配置编码器-解码器模型？][_ _-]
 *  [教程 | 如何用深度学习处理结构化数据？][Link 26]
 *  [改进卷积神经网络，你需要这14种设计模式][14]

3. 强化学习基础

*  [从强化学习基本概念到Q学习的实现，打造自己的迷宫智能体][Q]
 *  [教程 | Keras+OpenAI强化学习实践：深度Q网络][_ Keras_OpenAI_Q]
 *  [一份数学小白也能读懂的「马尔可夫链蒙特卡洛方法」入门指南][Link 27]
 *  [入门 | 蒙特卡洛树搜索是什么？如何将其用于规划星际飞行？][Link 28]
 *  [教程 | Keras+OpenAI强化学习实践：行为-评判模型][_ Keras_OpenAI_-]
 *  [从贝叶斯定理到概率分布：综述概率论基本定义][Link 29]
 *  [想了解概率图模型？你要先理解图论的基本定义与形式][Link 30]

## 数学 ##

*  [干货 | 机器学习需要哪些数学基础？][Link 31]
 *  [深度神经网络中的数学，对你来说会不会太难？][Link 32]
 *  [观点 | Reddit 热门话题：如何阅读并理解论文中的数学内容？][_ Reddit]
 *  [教程 | 基础入门：深度学习矩阵运算的概念和代码实现][Link 33]
 *  [从概率论到多分类问题：综述贝叶斯统计分类][Link 34]
 *  [机器之心最干的文章：机器学习中的矩阵、向量求导][Link 35]

#     #

# How #

## 致初学者 ##

*  [教程 | Kaggle CTO Ben Hamner ：机器学习的八个步骤][_ Kaggle CTO Ben Hamner]
 *  [教程 | Kaggle初学者五步入门指南，七大诀窍助你享受竞赛][_ Kaggle]
 *  [从零开始，教初学者如何征战Kaggle竞赛][Kaggle]
 *  [只需十四步：从零开始掌握Python机器学习（附资源）][Python]
 *  [如何从初入行者进阶为人工智能先锋青年？][Link 36]
 *  [观点 | 如何从一名软件工程师转行做人工智能？][Link 37]
 *  [教程 | 如何转行成为一名数据科学家？][Link 38]
 *  [初学者怎么选择神经网络环境？对比MATLAB、Torch和TensorFlow][MATLAB_Torch_TensorFlow]
 *  [教程 | 初学者如何选择合适的机器学习算法（附速查表）][Link 39]
 *  [经验之谈：如何为你的机器学习问题选择合适的算法？][Link 40]
 *  [资源 | 企业应该怎样选择数据科学&机器学习平台？][Link 41]
 *  [实验研究工作流程详解：如何把你的机器学习想法变成现实][Link 42]
 *  [观点 | 机器学习新手工程师常犯的6大错误][_ _6]
 *  [教程 | 如何用Docker成为更高效的数据科学家？][_ _Docker]
 *  [从标题到写作流程：写好一篇论文的十条基本原则][Link 43]
 *  [论文格式排版你真的做对了吗? 常用格式及其LaTeX书写方法介绍][_LaTeX]

## 课程 ##

*  [蒙特利尔大学开放MILA 2017夏季深度学习与强化学习课程视频（附完整PPT）][MILA 2017_PPT]
 *  [斯坦福CS231n Spring 2017开放全部课程视频（附大纲）][CS231n Spring 2017]
 *  [斯坦福大学秋季课程《深度学习理论》STATS 385开讲][STATS 385]
 *  [资源 | CMU统计机器学习2017春季课程：研究生水平][_ CMU_2017]
 *  [教程 | 斯坦福CS231n 2017最新课程：李飞飞详解深度学习的框架实现与对比][_ _CS231n 2017]
 *  [三天速成！香港科技大学TensorFlow课件分享][TensorFlow]
 *  [四天速成！香港科技大学 PyTorch 课件分享][PyTorch]
 *  [吴恩达Deeplearning.ai课程学习全体验：深度学习必备课程（已获证书）][Deeplearning.ai]

##     ##

## 算法实现 ##

1. 机器学习基础实现

*  [教程 | 从头开始：用Python实现带随机梯度下降的线性回归][_ _Python]
 *  [初学TensorFlow机器学习：如何实现线性回归？（附练习题）][TensorFlow 1]
 *  [教程 | 从头开始：用Python实现带随机梯度下降的Logistic回归][_ _Python_Logistic]
 *  [教程 | 从头开始：用Python实现随机森林算法][_ _Python 1]
 *  [教程 | 从头开始：用Python实现基线机器学习算法][_ _Python 2]
 *  [教程 | 从头开始：用Python实现决策树算法][_ _Python 3]
 *  [听说你用JavaScript写代码？本文是你的机器学习指南][JavaScript]
 *  [教程 | 如何使用JavaScript构建机器学习模型][_ _JavaScript]
 *  [教程 | 初学文本分析：用Python和scikit-learn实现垃圾邮件过滤器][_ _Python_scikit-learn]
 *  [教程 | 如何通过牛顿法解决Logistic回归问题][_ _Logistic]
 *  [每个Kaggle冠军的获胜法门：揭秘Python中的模型集成][Kaggle_Python]
 *  [教程 | 如何在Python中快速进行语料库搜索：近似最近邻算法][_ _Python 4]

2. 深度网络基础实现

*  [教程 | 初学者入门：如何用Python和SciKit Learn 0.18实现神经网络？][_ _Python_SciKit Learn 0.18]
 *  [教程 | 如何用30行JavaScript代码编写神经网络异或运算器][_ _30_JavaScript]
 *  [教程 | 使用MNIST数据集，在TensorFlow上实现基础LSTM网络][_ _MNIST_TensorFlow_LSTM]
 *  [教程 | 如何使用Keras集成多个卷积网络并实现共同预测][_ _Keras]
 *  [教程 | 在Python和TensorFlow上构建Word2Vec词嵌入模型][_ _Python_TensorFlow_Word2Vec]
 *  [教程 | 详解如何使用Keras实现Wassertein GAN][_ _Keras_Wassertein GAN]
 *  [机器之心GitHub项目：从零开始用TensorFlow搭建卷积神经网络][GitHub_TensorFlow]
 *  [教程 | 如何基于TensorFlow使用LSTM和CNN实现时序分类任务][_ _TensorFlow_LSTM_CNN]
 *  [作为TensorFlow的底层语言，你会用C++构建深度神经网络吗？][TensorFlow_C]
 *  [入门 | 十分钟搞定Keras序列到序列学习（附代码实现）][_ _Keras 1]
 *  [入门 | 想实现DCGAN？从制作一张门票谈起！][_ _DCGAN]
 *  [教程 | 通过PyTorch实现对抗自编码器][_ _PyTorch]
 *  [教程 | 基于Keras的LSTM多变量时间序列预测][_ _Keras_LSTM]

3. 计算机视觉实现

*  [教程 | TensorFlow从基础到实战：一步步教你创建交通标志分类神经网络][_ TensorFlow]
 *  [教程 | 如何使用TensorFlow和自编码器模型生成手写数字][_ _TensorFlow]
 *  [教程 | 无需复杂深度学习算法，基于计算机视觉使用Python和OpenCV计算道路交通][_ _Python_OpenCV]
 *  [教程 | 深度学习 + OpenCV，Python实现实时视频目标检测][_ _ _ OpenCV_Python]
 *  [教程 | 如何通过57行代码复制价值8600万澳元的车牌识别项目][_ _57_8600]
 *  [教程 | 百行代码构建神经网络黑白图片自动上色系统][Link 44]
 *  [教程 | 盯住梅西：TensorFlow目标检测实战][_ _TensorFlow 1]
 *  [深度 | 从数据结构到Python实现：如何使用深度学习分析医学影像][_ _Python 5]
 *  [仅需15分钟，使用OpenCV+Keras轻松破解验证码][15_OpenCV_Keras]
 *  [教程 | 如何使用TensorFlow API构建视频物体识别系统][_ _TensorFlow API]
 *  [教程 | 经得住考验的「假图片」：用TensorFlow为神经网络生成对抗样本][_ _TensorFlow 2]
 *  [先读懂CapsNet架构然后用TensorFlow实现，这应该是最详细的教程了][CapsNet_TensorFlow]
 *  [教程 | 如何使用深度学习去除人物图像背景][Link 45]
 *  [资源 | 如何通过CRF-RNN模型实现图像语义分割任务][_ _CRF-RNN]

4. 自然语言处理实现

*  [如何解决90％的自然语言处理问题：分步指南奉上][90]
 *  [资源 | Github项目：斯坦福大学CS-224n课程中深度NLP模型的PyTorch实现][_ Github_CS-224n_NLP_PyTorch]
 *  [谷歌开放GNMT教程：如何使用TensorFlow构建自己的神经机器翻译系统][GNMT_TensorFlow]
 *  [教程 | 从头开始在Python中开发深度学习字幕生成模型][_ _Python 6]
 *  [资源 | 谷歌全attention机器翻译模型Transformer的TensorFlow实现][_ _attention_Transformer_TensorFlow]
 *  [教程 | 如何使用TensorFlow构建、训练和改进循环神经网络][_ _TensorFlow 3]
 *  [教程 | Kaggle网站流量预测任务第一名解决方案：从模型到代码详解时序预测][_ Kaggle 1]
 *  [教程 | 用于金融时序预测的神经网络：可改善移动平均线经典策略][Link 46]
 *  [教程 | 如何用PyTorch实现递归神经网络？][_ _PyTorch 1]
 *  [教程 | 用数据玩点花样！如何构建skip-gram模型来训练和可视化词向量][_ _skip-gram]
 *  [教程 | 利用TensorFlow和神经网络来处理文本分类问题][_ _TensorFlow 4]

5. 强化学习实现

*  [教程 | 深度强化学习入门：用TensorFlow构建你的第一个游戏AI][_ _TensorFlow_AI]
 *  [资源 | 价值迭代网络的PyTorch实现与Visdom可视化][_ _PyTorch_Visdom]
 *  [解读 | 如何使用深度强化学习帮助自动驾驶汽车通过交叉路口？][Link 47]

6. 深度学习框架

*  [分布式TensorFlow入坑指南：从实例到代码带你玩转多机器深度学习][TensorFlow 2]
 *  [教程 | 从零开始：TensorFlow机器学习模型快速部署指南][_ _TensorFlow 5]
 *  [资源 | TensorFlow极简教程：创建、保存和恢复机器学习模型][_ TensorFlow 1]
 *  [快速开启你的第一个项目：TensorFlow项目架构模板][TensorFlow 3]
 *  [TensorFlow初学者指南：如何为机器学习项目创建合适的文件架构][TensorFlow 4]
 *  [教程 | 七个小贴士，顺利提升TensorFlow模型训练表现][_ _TensorFlow 6]
 *  [教程 | 如何从TensorFlow转入PyTorch][_ _TensorFlow_PyTorch]
 *  [教程 | 如何利用C++搭建个人专属的TensorFlow][_ _C_TensorFlow]
 *  [谷歌云大会教程：没有博士学位如何玩转TensorFlow和深度学习（附资源）][TensorFlow 5]
 *  [教程 | 维度、广播操作与可视化：如何高效使用TensorFlow][_ _TensorFlow 7]
 *  [教程 | PyTorch内部机制解析：如何通过PyTorch实现Tensor][_ PyTorch_PyTorch_Tensor]
 *  [贾扬清撰文详解Caffe2：从强大的新能力到入门上手教程][Caffe2]
 *  [教程 | TensorFlow 官方解读：如何在多系统和网络拓扑中构建高性能模型][_ TensorFlow 2]
 *  [教程 | 如何使用TensorFlow中的高级API：Estimator、Experiment和Dataset][_ _TensorFlow_API_Estimator_Experiment_Dataset]
 *  [教程 | Docker Compose + GPU + TensorFlow 所产生的奇妙火花][_ Docker Compose _ GPU _ TensorFlow]

## 工具方法 ##

*  [教程 | 如何优雅而高效地使用Matplotlib实现数据可视化][_ _Matplotlib]
 *  [教程 | 如何用百度深度学习框架PaddlePaddle做数据预处理][_ _PaddlePaddle]
 *  [教程 | 一文入门Python数据分析库Pandas][_ _Python_Pandas]
 *  [代码优化指南：人生苦短，我用Python][Python 1]
 *  [资源 | 从数组到矩阵的迹，NumPy常见使用大总结][_ _NumPy]
 *  [教程 | Python代码优化指南：从环境设置到内存分析（一）][_ Python]
 *  [资源 | 如何利用VGG-16等模型在CPU上测评各深度学习框架][_ _VGG-16_CPU]
 *  [教程 | 手把手教你可视化交叉验证代码，提高模型预测能力][Link 48]
 *  [教程 | 如何使用Kubernetes GPU集群自动训练和加速深度学习？][_ _Kubernetes GPU]
 *  [教程 | Prophet：教你如何用加法模型探索时间序列数据][_ Prophet]
 *  [初学机器学习的你，是否掌握了这样的Linux技巧？][Linux]

## 云端 ##

*  [教程 | 新手指南：如何在AWS GPU上运行Jupyter noterbook？][_ _AWS GPU_Jupyter noterbook]
 *  [教程 | 只需15分钟，使用谷歌云平台运行Jupyter Notebook][_ _15_Jupyter Notebook]
 *  [入门 | 完全云端运行：使用谷歌CoLaboratory训练神经网络][_ _CoLaboratory]

##     ##

## 边缘设备 ##

*  [教程 | BerryNet：如何在树莓派上实现深度学习智能网关][_ BerryNet]
 *  [机器之心实操 | 亚马逊详解如何使用MXNet在树莓派上搭建实时目标识别系统][_ _MXNet]
 *  [手把手教你为iOS系统开发TensorFlow应用（附开源代码）][iOS_TensorFlow]
 *  [教程 | 如何使用Swift在iOS 11中加入原生机器学习视觉模型][_ _Swift_iOS 11]
 *  [教程 | 如何使用谷歌Mobile Vision API 开发手机应用][_ _Mobile Vision API]
 *  [开源 | 深度安卓恶意软件检测系统：用卷积神经网络保护你的手机][Link 49]
 *  [专栏 | 手机端运行卷积神经网络实践：基于TensorFlow和OpenCV实现文档检测功能][_ _TensorFlow_OpenCV]
 *  [资源 | 用苹果Core ML实现谷歌移动端神经网络MobileNet][_ _Core ML_MobileNet]
 *  [教程 | 如何用TensorFlow在安卓设备上实现深度学习推断][_ _TensorFlow 8]
 *  [深度 | 向手机端神经网络进发：MobileNet压缩指南][_ _MobileNet]

##     ##

## 硬件 ##

*  [成本14,000元，如何自己动手搭建深度学习服务器？][14_000]
 *  [资源 | 只需1200美元，打造家用型深度学习配置（CPU+GTX 1080）][_ _1200_CPU_GTX 1080]
 *  [教程 | 从硬件配置、软件安装到基准测试，1700美元深度学习机器构建指南][_ _1700]
 *  [从硬件配置到框架选择，请以这种姿势入坑深度学习][Link 50]
 *  [从零开始：深度学习软件环境安装指南][Link 51]
 *  [这是一份你们需要的Windows版深度学习软件安装指南][Windows]
 *  [教程 | 一步步从零开始：使用PyCharm和SSH搭建远程TensorFlow开发环境][_ _PyCharm_SSH_TensorFlow]
 *  [实用指南：如何为你的深度学习任务挑选最合适的 GPU?（最新版）][GPU]
 *  [深度 | 英伟达Titan Xp出现后，如何为深度学习挑选合适的GPU？这里有份性价比指南][_ _Titan Xp_GPU]
 *  [Titan XP值不值？一文教你如何挑选深度学习GPU][Titan XP_GPU]

##     ##

## 吃喝玩乐撸撸猫 ##

*  [教程 | 你来手绘涂鸦，人工智能生成「猫片」：edges2cats图像转换详解][_ _edges2cats]
 *  [教程 | 萌物生成器：如何使用四种GAN制造猫图][_ _GAN 2]
 *  [学界 | 宅男的福音：用GAN自动生成二次元萌妹子][_ _GAN 3]
 *  [深度 | 如何使用神经网络弹奏出带情感的音乐？][Link 52]
 *  [深度 | 人工智能如何帮你找到好歌：探秘Spotify神奇的每周歌单][_ _Spotify]
 *  [解读 | 艺术家如何借助神经网络进行创作？][Link 53]
 *  [教程 | 用生成对抗网络给雪人上色，探索人工智能时代的美学][Link 54]
 *  [圣诞快乐——Keras+树莓派：用深度学习识别圣诞老人][Keras]
 *  [教程 | 摄影爱好者玩编程：利用Python和OpenCV打造专业级长时曝光摄影图][_ _Python_OpenCV 1]
 *  [教程 | 基于遗传算法的拼图游戏解决方案][Link 55]
 *  [教程 | AI玩微信跳一跳的正确姿势：跳一跳Auto-Jump算法详解][_ AI_Auto-Jump]

##     ##

## Money, Money, Money ##

*  [教程 | 从零开始：如何使用LSTM预测汇率变化趋势][_ _LSTM 3]
 *  [自创数据集，使用TensorFlow预测股票入门][TensorFlow 6]
 *  [资源 | 利用深度强化学习框架解决金融投资组合管理问题（附 GitHub 实现）][_ _ GitHub]
 *  [比特币突破8000美元，我们找到了用DL预测虚拟货币价格的方法][8000_DL]
 *  [教程 | 如何使用深度学习硬件的空余算力自动挖矿][Link 56]
 *  [教程 | 如何用Python和机器学习炒股赚钱？][_ _Python 7]

[Link 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650723678&idx=1&sn=5cb049e37427dd2b2a4e30e42bcc2fff&chksm=871b1120b06c983651bf92526cd8554225304200364d39cd18592fd8a6848d1f84cf80aeea22&scene=21#wechat_redirect
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[_ _VC_PAC]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734809&idx=2&sn=d46b3e5879fd4d7692efaaf260b32be2&chksm=871ac4a7b06d4db127f59213182fc84cd9a2390aeeb63bf31e444f775a4cd308249f4238b889&scene=21#wechat_redirect
[_ _XGBoost]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734959&idx=2&sn=93882c4f286880d7db364ba7b33dd6ce&chksm=871ac511b06d4c07cdb878f1b5eed2b27573a0b06b683b0f57ded04852b31f0cb6072a81138f&scene=21#wechat_redirect
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[_ _L1_L2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733678&idx=3&sn=5ee8cc5ad692dfe78150b041031c8e13&chksm=871b3810b06cb106f94bc07bffe76909d38638f057a4cd751efdf7ac313af50e87ab324d6bbd&scene=21#wechat_redirect
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[_ _10]: http://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650737028&idx=3&sn=a6a849924056f4a1300b04bd55c7f87a&chksm=871acdfab06d44ec6ec46b5aeb82df96b6371a81f1ff5f2e64aba4ce1274ee6bfcc24ed2a01e&scene=21#wechat_redirect
[_ _SVM]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728330&idx=2&sn=dadc2ac166249dbb600014c44077ae87&chksm=871b23f4b06caae2c1eaf4c2b81af316bb194d153d3bcb8fafb768bd04d41159922aba2efd95&scene=21#wechat_redirect
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[_ _Java]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728869&idx=4&sn=377e2da3d6fe3ec06154d4cc01a9c6e0&chksm=871b2ddbb06ca4cd28b77c43c425723ea2dcc3843affb43a798fb26533c66d2d8f5e26e70d5d&scene=21#wechat_redirect
[Link 9]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731659&idx=3&sn=b3f6e3ea45f30dc85d6df7551b34ead5&chksm=871b30f5b06cb9e30a6d2cdc22787895d92be9404227da60ec6c1a2e0e1b7b1091a82740da6c&scene=21#wechat_redirect
[_ _t-SNE]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733235&idx=2&sn=6b9572da8fec231a908018f76a6de380&chksm=871b3ecdb06cb7db23652a12f56ecb5b864efdd3932dc78c00a0ea4f2279495a9b3d52b9da5f&scene=21#wechat_redirect
[_ _Boosting_Bagging]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733784&idx=4&sn=3ef3ebd598561e7cc46633bb5a743dd7&chksm=871b38a6b06cb1b0c826c6f17c0a5ca018c1b20ada4c45e316f074b4c46975f92464c875382a&scene=21#wechat_redirect
[Link 10]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730393&idx=4&sn=274c6be9075b05e52638652ca22884b4&chksm=871b2be7b06ca2f198d34f526b7dc5b50ee4ec3154e9d192e24f820b52c86d183d42c2a469c3&scene=21#wechat_redirect
[Link 11]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732235&idx=3&sn=1731dfe5c6687328352d76558b34d49f&chksm=871b32b5b06cbba344f9ed8961a61a7f287bfc173adaf6594b345b70cd29f7c635f57e203899&scene=21#wechat_redirect
[Link 12]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735095&idx=3&sn=3922972fc1b8ef2faf4d91a87e2fc062&chksm=871ac589b06d4c9f5f1b35b2a70546d45fed4b0954e5064a8a25e74376083752d3d34ebc0833&scene=21#wechat_redirect
[Link 13]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736547&idx=1&sn=9c57bf436dee384038b1c9c8f884fbde&chksm=871ac3ddb06d4acb17009cc40f2e0bdb843505eab2ec09bf1d8c8fce8ff5ea27486683f8e754&scene=21#wechat_redirect
[_ _K-]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733110&idx=3&sn=c96d3754e8b0c297e9ae8769ba490f16&chksm=871b3e48b06cb75e5bd5fb1556ff709192253c60e85f3d78f95bfa1be9cbc3fa560ca3c559c5&scene=21#wechat_redirect
[Link 14]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736044&idx=3&sn=3434f7818f809926c3fbc852c6810d5e&chksm=871ac1d2b06d48c482d6c4b81858bafdbcdec8edb9cf271c92f15fe2776cfe7e4056f5fb5549&scene=21#wechat_redirect
[Link 15]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724464&idx=1&sn=1f34358862bacfb4c7ea17c864d8c44d&chksm=871b1c0eb06c95180e717d8316b0380602f638a764530b4b9e35ac812c7c33799d3357d46f00&scene=21#wechat_redirect
[Link 16]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734516&idx=1&sn=97750fa6b84ecdf97f3d0363d1d94ae3&chksm=871b3bcab06cb2dcba6a0c46a8444af5e6e567c608c52ef8cd1da38479d662fede71dadf6aa6&scene=21#wechat_redirect
[Link 17]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728195&idx=3&sn=4d7e69e3f74a0679967a8186214635a3&chksm=871b237db06caa6bd51d4bc54a13608e893f15844abba298a8c74087fdae8e911e2ecf4c9d5e&scene=21#wechat_redirect
[_ _GAN]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726033&idx=4&sn=e8cdbcb2a80aa78939c4880393ac5c47&chksm=871b1aefb06c93f94d5fbd1491f993332df3c9c6e6d6a0fc020e1e0c8b1a510c76bcb3c91b43&scene=21#wechat_redirect
[_ _GAN 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650723168&idx=2&sn=68b21b815688443a0dd7caa115cc13fa&chksm=871b171eb06c9e085ab0f2223e6bab04d2eecfa430ca071b19d5c377d909d46724269126dbf3&scene=21#wechat_redirect
[Link 18]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724206&idx=4&sn=8c56ffd127b92ca0d9186477d724759e&chksm=871b1310b06c9a064c43234df278e8d52a3fcfba87d9932fa51895e6367f835ec333d6063c7b&scene=21#wechat_redirect
[Link 19]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730929&idx=2&sn=65ef24e111c9d3d537b8ea95d3fc87bc&chksm=871b35cfb06cbcd9923c5057724486636cee60a47e3b91bfc44de255c5244448f4611df18da7&scene=21#wechat_redirect
[Link 20]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731207&idx=2&sn=ce4158846e5ecc07879d9fd853377a9c&chksm=871b36b9b06cbfafce0fcd5f4fa69439a7a2ba58e29377294d2e244cec065bca83f844b9921b&scene=21#wechat_redirect
[Link 21]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732434&idx=2&sn=c668f9e835a4dc48730048478ba24526&chksm=871b33ecb06cbafae7e8126b8726b273111231d841c1f980c5cc5594dc9a94aff4b676ef4fbd&scene=21#wechat_redirect
[_ _GRU]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735126&idx=2&sn=9c56d9f6a4fff5f6e1d026d8c98b21c7&chksm=871ac668b06d4f7ece3109204cc5eba8ae099a7e64a42fce284e239ef2b68aba64a06407020c&scene=21#wechat_redirect
[Link 22]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735672&idx=3&sn=bdcbeb175a9e26a0e3e51d40b3e3c3f9&chksm=871ac046b06d4950ed1eb1cfc46e920d392aefebd026acc48c64233d10c858e9821cb2af0ecf&scene=21#wechat_redirect
[Link 23]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726125&idx=3&sn=b094179cb4edf18168e01272ceccefe1&chksm=871b1a93b06c9385ff46c210c4619c2b0005e9198d74a9d362ebb8b4b6d321e9bc7132bd24cb&scene=21#wechat_redirect
[Link 24]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728605&idx=2&sn=a876df57cad1d2b9f38aea9add2afb34&chksm=871b2ce3b06ca5f50fd0127c9c3e62a64b4ea98910bc2a49c6df30cb0f0d2cea48ac81fc4a64&scene=21#wechat_redirect
[_ _LSTM]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728643&idx=2&sn=0494d4e6e89c05fdecb9588637ad0135&chksm=871b2cbdb06ca5ab5683f3d1b5630b0bf9260ba9f27e48842d9ab6bb9b110f10ccad0ff5071a&scene=21#wechat_redirect
[_ _RNN_5]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729486&idx=2&sn=dec2376601e005b7ba127720ed5f9d1a&chksm=871b2870b06ca166a8427b08375ea12df3512e1ed82e07dbcf504e1a70d994cbead5bf744364&scene=21#wechat_redirect
[_ _Adam]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728879&idx=3&sn=897571064a4b367c08d1aaef6360832b&chksm=871b2dd1b06ca4c7178cc125289d957fc46bdc9c0f8cdff5103c01fed383ca4c3c2f36e8090d&scene=21#wechat_redirect
[_ _LSTM 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728437&idx=2&sn=8ef78af1a8583283c61faf59cdc1aa9a&chksm=871b238bb06caa9dffcf5ac5098f492300eedf37d6843bb1bc83116576fa2f155bad73be5d0d&scene=21#wechat_redirect
[_ _TensorFlow_LSTM]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725861&idx=5&sn=eb538dc638da2a0b70c95b59d1b3a0f2&chksm=871b199bb06c908d03cfa568ff747b52706d98fc4c26ea3b2af48a70b2f68a01cdd34ee51fa0&scene=21#wechat_redirect
[_ _LSTM 2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731550&idx=3&sn=d3d79c5f75d1a7c5aadfbaacbb263b6f&chksm=871b3060b06cb976785ab9a4498f7d6a81261e431a8657419e9a3a028d39063286a35167edbf&scene=21#wechat_redirect
[Link 25]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733409&idx=3&sn=6e41b8b1b2242e37949fdc95e8460976&chksm=871b3f1fb06cb60936551b449af0c52fc2927f5d510a96b2c5c2f21d9b58677c2486032daf16&scene=21#wechat_redirect
[_ _-]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735824&idx=3&sn=07ca2cb7c3af2325df3dc1a7121c69a6&chksm=871ac0aeb06d49b8e1c679f21fe368e0dd21d845a74bcc369026430deda888e6dc6a792d5bf1&scene=21#wechat_redirect
[Link 26]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734243&idx=3&sn=53e89ded6b781dd37e552497b8c334fb&chksm=871b3addb06cb3cb1de38c819b56c2a14c436e4d53a83c8b32b2c948082af5c92c70800a3098&scene=21#wechat_redirect
[14]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725579&idx=1&sn=bab76962e07731866917d7b8509d6222&chksm=871b18b5b06c91a36e5c0c1f5e196385ef9865f7aebf6b98f5b590e7bea0e912ad06c57991ef&scene=21#wechat_redirect
[Q]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725146&idx=1&sn=33642c5ae292a6b0a20a3a26beb1008a&chksm=871b1f64b06c9672435baf978c8089cc0b8d34c63701c2fbf36f8a334dc83b1a3ed4d634f34e&scene=21#wechat_redirect
[_ Keras_OpenAI_Q]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729997&idx=4&sn=cf136a75277f01e7ad7c8dc89421ee09&chksm=871b2a73b06ca3653a4ef2266c031db68fc615d8ba56a47f88d67fe96de62ef144babc08aae4&scene=21#wechat_redirect
[Link 27]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735126&idx=1&sn=221754f7ea0f551b569d2ff81c30c21f&chksm=871ac668b06d4f7e78305a734b02fdb6991e7c13ada6365193ba626ce92418743a2c6896eac6&scene=21#wechat_redirect
[Link 28]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735505&idx=2&sn=cf35da35cc5d760314a8b48f64b22ed8&chksm=871ac7efb06d4ef9dd25450c1ff6bad5c70f73a53bbc133357faeba9f6a876e22f0f028934d2&scene=21#wechat_redirect
[_ Keras_OpenAI_-]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729826&idx=2&sn=5590b0c185ddef32b119ef372a468a36&chksm=871b291cb06ca00a98c37e6c558329ca8d51525ef2919be490876a45d87ac732f3491ebdfab9&scene=21#wechat_redirect
[Link 29]: http://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731034&idx=1&sn=c700041fe10108ca1068c4d80aa0d05a&chksm=871b3664b06cbf726bd93d7b3db4f15125df77a6f69ddb0304b292b932071d2d78104ad5d4f0&scene=21#wechat_redirect
[Link 30]: http://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725041&idx=1&sn=0c57ba70e2613e6af80c4ab61c996d44&chksm=871b1ecfb06c97d9547e50705d3e74a2b8c41254f0efc2dd88d2e89eec3bfac5da089f28c398&scene=21#wechat_redirect
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[_ Reddit]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729640&idx=4&sn=947ac4fb6765797bac76ae6c6c395c14&chksm=871b28d6b06ca1c02db2790f5dae76a27c45e06ed4327779a340fbeffa9b99e08f10794716de&scene=21#wechat_redirect
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[Link 36]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726987&idx=4&sn=0f4df6830f2e0996428a1ae1bf0489ea&chksm=871b2635b06caf23a526b425c05b40e2cb1363eac41c1c154edab39fd3fe3a3ad022d72615f2&scene=21#wechat_redirect
[Link 37]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730149&idx=4&sn=a06118e5d8ca388472866920d3644c8d&chksm=871b2adbb06ca3cddbee982fd01ce9bcab69cd33fc782bda3ae20aa2bd50cb0c84db1f8ba09d&scene=21#wechat_redirect
[Link 38]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724131&idx=3&sn=985c3f1e67e6b2bc6d8b89da500b4314&chksm=871b135db06c9a4b482ac76150225a0ad4bbc530e16788087bbfb0444e35c8199b62b868a48f&scene=21#wechat_redirect
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[_ _6]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731954&idx=3&sn=2790b787064d92f0b32aa68cce15c6cf&chksm=871b31ccb06cb8da11fa32d56c0b00e829431348f91961c1197401eab0a4077b084ef22973bb&scene=21#wechat_redirect
[_ _Docker]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735018&idx=4&sn=82759b19c393f46ff780ce08b5000088&chksm=871ac5d4b06d4cc23f45b84613feea1ecbaddb1fcaad7f77862cd3ef54df8d0fb81c5c5dda74&scene=21#wechat_redirect
[Link 43]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732524&idx=1&sn=72ee2160fc63eb024c4f60d2d36f84a3&chksm=871b3392b06cba84dce2866381a9c9f33e6dc5cfed1b2c9be3e361eb391bfdf9b46370e7a1fb&scene=21#wechat_redirect
[_LaTeX]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731362&idx=1&sn=b076060a823b31049d22e22e8eec0690&chksm=871b371cb06cbe0a4a0751d45b8fb0c4827ca1da519b3292de0a3e9875a91f56fa982c0a5ccd&scene=21#wechat_redirect
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[_ CMU_2017]: http://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732524&idx=3&sn=b1dc4de81422332f0cf3a645fe2fc8bd&chksm=871b3392b06cba84620dbddf76503d437f6df93db3eaa64807033695dd1455e68076c450afb9&scene=21#wechat_redirect
[_ _CS231n 2017]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728136&idx=2&sn=02cc1e6020db67ae28f5b2b53e312fa0&chksm=871b22b6b06caba0f4c260810342108264c7dde7c20e2ec62b169029aebe0f7ac3f302848cf4&scene=21#wechat_redirect
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[PyTorch]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731685&idx=1&sn=9b8cfdf380ff9c8c91b45ebe7452f4ee&chksm=871b30dbb06cb9cd199412e72d7740970e82c7c61057473871287706a4239f3661eafbfd1630&scene=21#wechat_redirect
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[_ _Python]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650722778&idx=3&sn=4baa72592dd8432a25cdecd742eb82fe&chksm=871b15a4b06c9cb23f0c112b3bf74de38f2871f90d1ddf53c13b78380bc563b3636684fd3ded&scene=21#wechat_redirect
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[_ _Python_Logistic]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729997&idx=3&sn=557c6978fa2cdf1af2420d68d48edbf7&chksm=871b2a73b06ca36535713c6b5646b3e451b49fe64484e133ffaea1ac4513b2c4905aabaca34a&scene=21#wechat_redirect
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[_ _Python 2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650722844&idx=3&sn=c9e5f788db0b83e0320acc50d8ab4286&chksm=871b1662b06c9f74b2770e8d1cc9f181ec5089d004cc34e578bbcbe547d25ef331010e205c25&scene=21#wechat_redirect
[_ _Python 3]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650723438&idx=4&sn=cf3902a9933afe08ac3c38452044cddd&chksm=871b1010b06c99062809133f3ad6279bccd64768a761a2aa6495367048069bc13788929b276a&scene=21#wechat_redirect
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[_ _Python_scikit-learn]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726358&idx=3&sn=29b9a4a0206291f9fd9e50a01e11d21c&chksm=871b1ba8b06c92be9bb14151079ba5ce5784f203859ec6a5b3bb6c83e9d44ad80fda655213de&scene=21#wechat_redirect
[_ _Logistic]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729725&idx=3&sn=842cdf4afb9c1c6c8b0fa935b576ff41&chksm=871b2883b06ca1955bee87dcd09faef6b89088acfccd8aa10a404ad572e63de24296b709038d&scene=21#wechat_redirect
[Kaggle_Python]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736180&idx=1&sn=4e26c6a0b3c72fd82809ce94b476c55a&chksm=871ac24ab06d4b5c38d08eeb6236c30e8c905ae02dbb7b6356022a97e7cc9cd468ad90ffa8d7&scene=21#wechat_redirect
[_ _Python 4]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736577&idx=3&sn=158015af74af324524ac4462406aa7e6&chksm=871ac3bfb06d4aa9f117c55abba570c5e179f6d6f341e8f794b64830a1f762775e16e0fa6db6&scene=21#wechat_redirect
[_ _Python_SciKit Learn 0.18]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650727449&idx=4&sn=63d7df34d597d6648d8373daad0a356a&chksm=871b2067b06ca97154af0ad047b76a3f476f364c602ad21e8a59aabf99cf29a2a60e1addea04&scene=21#wechat_redirect
[_ _30_JavaScript]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730189&idx=3&sn=7c6db64c53342e7d9274b865b304a94e&chksm=871b2ab3b06ca3a55d4dd6f3f3778ec7f83d8069698c64dd6f93be392ffe1c1575be5e8872a5&scene=21#wechat_redirect
[_ _MNIST_TensorFlow_LSTM]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731455&idx=3&sn=3235f705bfe42be73b7be1227eb91d5d&chksm=871b37c1b06cbed7df05dd898f7eeadded146d3656069519995f9140cb61aa0d7b5e63db377d&scene=21#wechat_redirect
[_ _Keras]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734699&idx=2&sn=7aea11805597957bf5ffbafba37a27aa&chksm=871ac415b06d4d03af99c489951afbf49a4209b1b96eb58fa4925723ea40e67b88ab04fcb432&scene=21#wechat_redirect
[_ _Python_TensorFlow_Word2Vec]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733523&idx=4&sn=63adfa76c6522488572227ba3b1f874e&chksm=871b3fadb06cb6bb45f9ac082126300db61819bc1acbfd600ccf32c6913e1ce478c4fe0ee0f8&scene=21#wechat_redirect
[_ _Keras_Wassertein GAN]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731623&idx=3&sn=613f739fb333adb51db877f0000c5698&chksm=871b3019b06cb90f2b64d4de5bda1eb000562f60b65ca88b5ca559199f805aa1355529912b13&scene=21#wechat_redirect
[GitHub_TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730287&idx=1&sn=5697b072a5671ac201e15b43339efab9&chksm=871b2b51b06ca247ac1fdc939e39cfc44cbc2ee25e1b105cf9a582395ddbcdd43cfe18fecd40&scene=21#wechat_redirect
[_ _TensorFlow_LSTM_CNN]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730786&idx=4&sn=9965afeb050e2e7431baef39636e28e2&chksm=871b355cb06cbc4adf2e536f52596f383ee314303c72eb09b4cf6791603d337d59d97b5c68f5&scene=21#wechat_redirect
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[_ _DCGAN]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736232&idx=2&sn=04b1deed56d718decdf271f166d209e2&chksm=871ac216b06d4b004614ec20979bec27b458578eb5fb3255af1d0c9451581528594b19608038&scene=21#wechat_redirect
[_ _PyTorch]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725900&idx=2&sn=19d6aa4d36d5cb5cea0517085ea2ed7e&chksm=871b1a72b06c93647896acb49817dc90934aebc3069036f02353d44d15c2edea529b599b8bfd&scene=21#wechat_redirect
[_ _Keras_LSTM]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732524&idx=2&sn=2877d47c9fb4bfa47c348fa14e4b2706&chksm=871b3392b06cba849b3370aad1a21cdb8bece6f53208ed95563b555843faa65e32fedeed011c&scene=21#wechat_redirect
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[_ _Python_OpenCV]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732216&idx=4&sn=6a43499b4af953ff6779e9165e1cea00&chksm=871b32c6b06cbbd09c10b8504cdee6ded71995cf87e7fc95c9c1e7b4feaf2eb7e47a06444fba&scene=21#wechat_redirect
[_ _ _ OpenCV_Python]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731098&idx=2&sn=833275efb1b49db7c0469b84fce21fc4&chksm=871b3624b06cbf32c343a6f8a7d128f5a5e92df3da8d994b59069ee48e9edae2a0f708c1be0b&scene=21#wechat_redirect
[_ _57_8600]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730538&idx=3&sn=4dfaf1599cbb0cbf3ae66b1c7244bc7d&chksm=871b3454b06cbd42d25f83dfe2171c941805230d79dae7faa1a073cabc91a9437015073d3f96&scene=21#wechat_redirect
[Link 44]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732561&idx=3&sn=3244bf3628ed274c80eb30c6bbc97171&chksm=871b3c6fb06cb57993bf24dea12f55c3e598e89c6503e5c3e65e24c27d9819315b6b8572cb61&scene=21#wechat_redirect
[_ _TensorFlow 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731852&idx=2&sn=3914978de93da05405b85c38d2a1bbb3&chksm=871b3132b06cb8246c230aaa7ed5e88b50fb557519fdb9103852f4815c9ffcb117d1794a2d8d&scene=21#wechat_redirect
[_ _Python 5]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726926&idx=3&sn=11c4a301ec8cf646b01afb7fbc3eba5e&chksm=871b2670b06caf66ad9ba8f4832e51d10e6548220f7762f26b947e298da3432e864da1796502&scene=21#wechat_redirect
[15_OpenCV_Keras]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734670&idx=1&sn=60cdf724b9cbd3497c116e3e5418809c&chksm=871ac430b06d4d26f33cc2a2db2c1bb9b3862a6cf0dec60e651577ea67fb1209b86afb96e6df&scene=21#wechat_redirect
[_ _TensorFlow API]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728960&idx=3&sn=a5898f12ff2c978967faf71bf6551c54&chksm=871b2e7eb06ca76857e82b419b7d0bb533b2058f6e1c5c5ba2135f0a4193a4087a1115df582b&scene=21#wechat_redirect
[_ _TensorFlow 2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729786&idx=3&sn=5275db7b6967bf4cbb8e98324bcd7fb3&chksm=871b2944b06ca052fbef497fda64593a5f9c7792ee13590253480ff2b51ea8e31fe6f4d29754&scene=21#wechat_redirect
[CapsNet_TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732855&idx=1&sn=87319e9390200f24dfd2faff4d7d364a&chksm=871b3d49b06cb45fd8a68d003310b05562d9f8ff094ed08345f112e4450f7e66e6cf71c5b571&scene=21#wechat_redirect
[Link 45]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730488&idx=2&sn=9e64f2923512cb46d3011b0d200fba49&chksm=871b2b86b06ca2908777e6b7a1045f23bf9e086b5a9f166e9bb9276c9d327fa151971b484e74&scene=21#wechat_redirect
[_ _CRF-RNN]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729791&idx=3&sn=273d8f1eb58490cea54433f1d5253bbf&chksm=871b2941b06ca057d3294aeed4eb9584acb6038bad0334e9c0f19d998d5e521bc89b477081ed&scene=21#wechat_redirect
[90]: http://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736777&idx=1&sn=d837a23210743031688380e4596558ee&chksm=871accf7b06d45e189adbc7eb4e9d9fc518446e9aeb9a07b79a4a6ca08bdab21b926b3484a3a&scene=21#wechat_redirect
[_ Github_CS-224n_NLP_PyTorch]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733162&idx=3&sn=c6812109a57d9370ed96ebdd35945e6e&chksm=871b3e14b06cb70266c8bbed6c8ab19fa5b8242514f1e1e9fa71d215595c6634a8fda67a418f&scene=21#wechat_redirect
[GNMT_TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728901&idx=1&sn=7c9a47a9b55678794cd5f70460e0f561&chksm=871b2dbbb06ca4adaf245336ad83a7d4afeebb251bb13328f78f5313a3888faaeb0dc714bb15&scene=21#wechat_redirect
[_ _Python 6]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734546&idx=2&sn=7fe918a35c35342e3c210c4eeebf0edc&chksm=871b3bacb06cb2ba7e51ddccf0c703d6f9346da5ba3909d4268485c031b77388a94e6f252019&scene=21#wechat_redirect
[_ _attention_Transformer_TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728136&idx=4&sn=04d55487be6ad40bfc87e8f849f5d2d0&chksm=871b22b6b06caba0258a749290b1824b1bb47a18563e69554d99e06593a8549b88c0f1f8c0c9&scene=21#wechat_redirect
[_ _TensorFlow 3]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724740&idx=5&sn=c9caf66b1a31396d101a03b4b5012dec&chksm=871b1dfab06c94eca730ea122c7e90f5438ae0ff0b71b3c97df1349fa1c6782da66bbcf13395&scene=21#wechat_redirect
[_ Kaggle 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734276&idx=2&sn=5ac3f59ced7f27b442e630c66a30ea8e&chksm=871b3abab06cb3aca0c2313c86f786249829caf242633252eff0b23649976e7c1b013e605379&scene=21#wechat_redirect
[Link 46]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732184&idx=4&sn=b523a8971c9d0c6e886a777aa1603364&chksm=871b32e6b06cbbf0f9d84bbefca1b67a9af4c7326dd675bfd8727c930b7db7dde5b13b5c1314&scene=21#wechat_redirect
[_ _PyTorch 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725842&idx=4&sn=a2e725f09cc7062b66c20e9e48fa12b0&chksm=871b19acb06c90ba638f788589cd3ef2a0cb32db8469dcac0ad454297059f3bd6f0bacd2eaed&scene=21#wechat_redirect
[_ _skip-gram]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736180&idx=3&sn=5e3c2d3fab70dcb632a58b9b62a91669&chksm=871ac24ab06d4b5ccdeda3977cdc1bdc2fe112e9a442dba12c84dfce568b29bce8d486003b56&scene=21#wechat_redirect
[_ _TensorFlow 4]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730149&idx=2&sn=e82c3d1a2af7bd4c7af24af44f8729dc&chksm=871b2adbb06ca3cd6714d0084852e37d021c4bae92ce51003740bf6bfebdd3528df08157c00b&scene=21#wechat_redirect
[_ _TensorFlow_AI]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733367&idx=3&sn=59d112b5ee7675995d45b96789ffd93d&chksm=871b3f49b06cb65f8e07e3e75e8f36f91862bf1e5677be34c751ad060d9b17d331da5047e0c7&scene=21#wechat_redirect
[_ _PyTorch_Visdom]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725012&idx=4&sn=bcf6817a533068610ecac7d9aa3710c6&chksm=871b1eeab06c97fc2bb118b41c267084b4f0e2f6b30a61aa59d50e7eaadbf43f62477037f8cb&scene=21#wechat_redirect
[Link 47]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729371&idx=5&sn=186796678dc315b33e3520dad31db821&chksm=871b2fe5b06ca6f38e4a750578164ed969af86ff4623fa5eabd2b90c6c181801987226f42035&scene=21#wechat_redirect
[TensorFlow 2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650734471&idx=1&sn=be4cd4b85ed84f997baf4c88543dc3f4&chksm=871b3bf9b06cb2ef94ea9531ec74fef14b8db5d1996b0cf0c9bd31ca3594ef1f54feaea17109&scene=21#wechat_redirect
[_ _TensorFlow 5]: http://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736925&idx=2&sn=3ec7f2370ce60ff1bc18f5122e0aa5f2&chksm=871acd63b06d4475c22d227bb03b696dbaea94b5c0ec5486c03db2a056b051ec2e436d3f5976&scene=21#wechat_redirect
[_ TensorFlow 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724464&idx=3&sn=1323508f08c25d827d42052cfa796d24&chksm=871b1c0eb06c9518178211d5eac00b8089f68d182076be20ed0954126112f8296d1e7daec7ce&scene=21#wechat_redirect
[TensorFlow 3]: http://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650737338&idx=1&sn=34c5cab8287b2138b7f80ff730fe2cd0&chksm=871acec4b06d47d299d3a72ec955d0353b690f8734c61ae864d1054a90c5f07a6cdc0f9fe380&scene=21#wechat_redirect
[TensorFlow 4]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726048&idx=1&sn=492ccde81a2ca2a344f995c5f92a3107&chksm=871b1adeb06c93c87b81f9c6a9e6e041e01a2885949d16e8a7e758a26a0237421b59257de7a4&scene=21#wechat_redirect
[_ _TensorFlow 6]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650723520&idx=2&sn=53680fb4b709beb19b28d071907958fe&chksm=871b10beb06c99a8993cd1729197bb05ab5f341359bf21fd6b3d3f134f51051d948265ca4abb&scene=21#wechat_redirect
[_ _TensorFlow_PyTorch]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731491&idx=3&sn=0c75c7d4c476031ced5ae40b972fb6b3&chksm=871b379db06cbe8b26e51e83a9d870c09e270d00b17c54b826fde937abd7544f8198dcf2b231&scene=21#wechat_redirect
[_ _C_TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732373&idx=5&sn=62ce53bbfe4532126420861745a6f96f&chksm=871b332bb06cba3dbcbff490767c965dd3432e0bb14c56e9a1c40b24b7db701b197aeb29d53b&scene=21#wechat_redirect
[TensorFlow 5]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724206&idx=1&sn=2f5d695bdd080d0d005875021a6752ea&chksm=871b1310b06c9a064c716b53e18157373289213408b3c92ed250d18d5228fc60cbc421d07983&scene=21#wechat_redirect
[_ _TensorFlow 7]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729714&idx=2&sn=8aac55a04ca9aabd774c8b813ea50494&chksm=871b288cb06ca19a424d929d32fd54e462dc62d3a0353960a25825f00587721d78af1640792b&scene=21#wechat_redirect
[_ PyTorch_PyTorch_Tensor]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729690&idx=3&sn=3cd89df0bbece3930b4a88e4dae08669&chksm=871b28a4b06ca1b2542539d36f6a306038141ee3d1a296ecad1d08cd5e4908b4589ae91d04b4&scene=21#wechat_redirect
[Caffe2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725703&idx=1&sn=d8094022c03672cdc1c088f3409774a9&chksm=871b1939b06c902fe05502b68eb15536f4e4d38021050c52c607baccf2977cc8c80b61cd3579&scene=21#wechat_redirect
[_ TensorFlow 2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726389&idx=3&sn=cfb5761a2eae87b423390e4a459b1c12&chksm=871b1b8bb06c929d918d958e2d6ecc71f20c3f8955677c8ea1580e7ba17cfc334a1740c23b2a&scene=21#wechat_redirect
[_ _TensorFlow_API_Estimator_Experiment_Dataset]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730716&idx=3&sn=1fb5cd9028ff08f10e2cbc9a9dc25f14&chksm=871b34a2b06cbdb462d1adad0ef6cd2758bab429cfd072ba9be3850d3037302ada21f1e795cc&scene=21#wechat_redirect
[_ Docker Compose _ GPU _ TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730929&idx=4&sn=e17df54969506e0aa2840f760815d24e&chksm=871b35cfb06cbcd916283ee7035801aa1d8c717f3c3c9bc138c22fdb17029f99d8c6c6f2a918&scene=21#wechat_redirect
[_ _Matplotlib]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736232&idx=4&sn=3332215f55785b316965f1c004d74508&chksm=871ac216b06d4b006805a43097b9d94f6c2ed3e247817370de03fde0ffd835a50996b3594158&scene=21#wechat_redirect
[_ _PaddlePaddle]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733784&idx=2&sn=6d8b2f4268083235e2a0060f412759c5&chksm=871b38a6b06cb1b0b005f0b6512723747c2686ed9ec826dc6e9e785b681f7b9e0fbfbccead00&scene=21#wechat_redirect
[_ _Python_Pandas]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733750&idx=2&sn=5420df0c2ccd9ee5fd8906483551f53d&chksm=871b38c8b06cb1de36475e9965290661da8ca748b05f7d63c9cfc0d2819b95aba0a425195869&scene=21#wechat_redirect
[Python 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733523&idx=1&sn=445df1a0c8ccc3b39c8dbb2bb148a08b&chksm=871b3fadb06cb6bb1c6bc91eb4bb1978f77f6c80e1dbe39f211ad1e1cacee48a5e4ef2a3b0ed&scene=21#wechat_redirect
[_ _NumPy]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650732472&idx=4&sn=1fe80480abdaf6f66c442d68e111cebf&chksm=871b33c6b06cbad070ef7d336b44d8021f68129114155244866c6a5075d63a342c0481b7e9d3&scene=21#wechat_redirect
[_ Python]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728951&idx=2&sn=a299c07c5d621ae55f9727e1f3af24ce&chksm=871b2d89b06ca49f0791a6acbda06e8bcfe1a435a703e02f2b38da0667736848aa6267f5be2c&scene=21#wechat_redirect
[_ _VGG-16_CPU]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731852&idx=3&sn=ebdf5a6ea339264fbaec150902359e7d&chksm=871b3132b06cb824cd80e446c0eecb8f814c2fa7469fde4dd2ddcb9599ab6d728f2cb5c4eddb&scene=21#wechat_redirect
[Link 48]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731954&idx=2&sn=0fd2d0276bba664710d6ac6c8d5bdcb5&chksm=871b31ccb06cb8dae1729d6eb1f043635015f2b16a6f76bcd77aa0f77ad19d5fca61532e6958&scene=21#wechat_redirect
[_ _Kubernetes GPU]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650727887&idx=3&sn=c95b0a5137ae25a3d9ece41208917187&chksm=871b21b1b06ca8a7acaa4971bed1dd97a4eb4d2a4ec440d615f08ee298706268b57640be0540&scene=21#wechat_redirect
[_ Prophet]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650736429&idx=2&sn=6421643f152771aa8ebb6c78db598f47&chksm=871ac353b06d4a457bdd0a98fe86c8f259e7ca03e1b8a512fd394b461602ab6c28786a9adf60&scene=21#wechat_redirect
[Linux]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733548&idx=1&sn=0d8388ea530acc77418acdd35274e119&chksm=871b3f92b06cb68476247cea7bc28fa98cc4fee9ec67a415a95ee29260be7c5ddeb6ff3dab21&scene=21#wechat_redirect
[_ _AWS GPU_Jupyter noterbook]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725146&idx=4&sn=7d9be4cb07b0cd7967afbc08d9f2f19c&chksm=871b1f64b06c9672b6b5f9addbe855cdd667f4beff7d40418e9e199d3b88a9217e08134b5615&scene=21#wechat_redirect
[_ _15_Jupyter Notebook]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733632&idx=4&sn=0a3ca577582086225b406a56a2dc2c56&chksm=871b383eb06cb128fe95c4317934b8bd9c3cee81c5d0707bc7ea1ad65d488112aee2b573d7da&scene=21#wechat_redirect
[_ _CoLaboratory]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735484&idx=2&sn=b777fbf5c1449c6cf9a44e1a3ee854fe&chksm=871ac702b06d4e1430e11be7ce62f23482d39cb054dc572b759a45ff7329aff34dce21207e4f&scene=21#wechat_redirect
[_ BerryNet]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726048&idx=3&sn=bd73de47cd65a1772c2df027cabd6a5c&chksm=871b1adeb06c93c89ce7d9b45c1636a80a397871f119b0f316f426e01e804e8d86dc9f6399fc&scene=21#wechat_redirect
[_ _MXNet]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728605&idx=1&sn=38451fe201d44bef51684ac7ab5a7173&chksm=871b2ce3b06ca5f574de4b1620b3f3eda96832068be920a65dd5d17734433bd2adda18ea455e&scene=21#wechat_redirect
[iOS_TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725442&idx=1&sn=e47020aa77c347753eb453deded29364&chksm=871b183cb06c912a33be69a4321f5aeca0d6f9b4a93b0f7bb1717553bbc0ec12b7ae62a57001&scene=21#wechat_redirect
[_ _Swift_iOS 11]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650727685&idx=2&sn=1bd2b0ca546474957a856c9614f2353d&chksm=871b217bb06ca86d35fcc93a0d84e2a2067dbbe8743d91ea2adf7422dfc4bdc86a7595cde33b&scene=21#wechat_redirect
[_ _Mobile Vision API]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650726773&idx=2&sn=074c4b365962e6e64a953a5002d9351f&chksm=871b250bb06cac1de2cf004725ac0214acb9710d3ac48fea703d419ea2f3ad328d20ddbeda37&scene=21#wechat_redirect
[Link 49]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728570&idx=3&sn=b8b12344ac610095843410e3d81d5915&chksm=871b2c04b06ca512c177de40df14f11c14c4f57e0106b161ee6b0bb21ebba71929cbd2f5e7a0&scene=21#wechat_redirect
[_ _TensorFlow_OpenCV]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650727250&idx=2&sn=2cedf785cd4c67837c599c5251c8e4ea&chksm=871b272cb06cae3a9d6718392aa6dbd7c6854f730d564b377e64c66fb208da3a681ec75339cd&scene=21#wechat_redirect
[_ _Core ML_MobileNet]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650727657&idx=4&sn=a74a473464ab36fcce848612106c9ebc&chksm=871b2097b06ca981fdf3b63495c42dff165e1a29fb895e47f1c87978c252db35597308af994d&scene=21#wechat_redirect
[_ _TensorFlow 8]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733805&idx=2&sn=9d94635aab0021e6ff6cb1d7dce53ab1&chksm=871b3893b06cb185a8fc669f9dbec690fa906b13831397b04e1f7b11da3ce70b83f863398a9f&scene=21#wechat_redirect
[_ _MobileNet]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650730538&idx=2&sn=7194725505b51df09bc1b97666f33ddb&chksm=871b3454b06cbd42dfe80ff80b799e542633b5cba1caca451502189d5166f1924f0014a2ba1e&scene=21#wechat_redirect
[14_000]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650723604&idx=1&sn=70c6bf533b17b2fc842f5926ec9d35c4&chksm=871b116ab06c987c53e92273e3d18398ac17c1744c5b972b497dfcf47cea8fa81fadf2bf18b8&scene=21#wechat_redirect
[_ _1200_CPU_GTX 1080]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729976&idx=5&sn=1224a97983426a94218e2af68809dc1b&chksm=871b2986b06ca09084c687d27f6aec8c496fdfde4a969323c9a5f697b8e9ca414e5f2fa548a1&scene=21#wechat_redirect
[_ _1700]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650727504&idx=3&sn=e70e50e3925afc63d2449ed0a70e5b5a&chksm=871b202eb06ca938b3f0a6573fb2da54aed5e836cece48840c8c72a89cd36794559a7611ee48&scene=21#wechat_redirect
[Link 50]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733409&idx=1&sn=54586bb7afd80cf0fcb546031ec17d04&chksm=871b3f1fb06cb609aff00bbae7ce4a9ad704ab4d055cac0c3d0f25fd6c7f609408e9331bcbeb&scene=21#wechat_redirect
[Link 51]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731550&idx=1&sn=0ad49b4f74046456d806655b36659ba8&chksm=871b3060b06cb9761b6016c083413d33ec5333fd520deb1264aca45f469f1125d381376cf973&scene=21#wechat_redirect
[Windows]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731653&idx=1&sn=b29bebb3fc6f69cd27ff826fd1d74f2c&chksm=871b30fbb06cb9ed25474ff7aa39879465182b56356692b9b9bde9f10a313dc92950f385ef75&scene=21#wechat_redirect
[_ _PyCharm_SSH_TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724442&idx=4&sn=02fecb6ad48224b4448a927c4b19fcc6&chksm=871b1c24b06c953200c41f2d3ff320018b750e7a96cffad5e46bf08dcd571dcd3b631728f44e&scene=21#wechat_redirect
[GPU]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650724485&idx=1&sn=d05d9efe3b066c135d26264f7e8d22a6&chksm=871b1cfbb06c95ed8bbbf573ba8b6fa6e1d518625608a78ce19aa6cd1db9020901cea217ec41&scene=21#wechat_redirect
[_ _Titan Xp_GPU]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725299&idx=2&sn=e8dad54dfb885789a910f20042e93589&chksm=871b1fcdb06c96dbd1cd19febc37838ebb09737135965f7c3d5297deaa3cb668ee4b2be6025e&scene=21#wechat_redirect
[Titan XP_GPU]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733678&idx=1&sn=fbb22bf76392a49a49545ec371f69474&chksm=871b3810b06cb1069bf35e024863e823da08026bd13a1ae890c4e528a5cfe8d2ef008d6aead6&scene=21#wechat_redirect
[_ _edges2cats]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650723632&idx=3&sn=88f89ee39a145f4bf0c0add7a42fa4ca&chksm=871b114eb06c985809a27507310d1d1394f908c9cd231d3bf0c9180f462d2fedd1a60f505ab6&scene=21#wechat_redirect
[_ _GAN 2]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728794&idx=2&sn=426052e5cd7d952902b6623e40df16de&chksm=871b2d24b06ca4323d055668db51590703c45966149e0849d1dd92771bc28d2b5e24c1b4ec5d&scene=21#wechat_redirect
[_ _GAN 3]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729957&idx=4&sn=bdeb666588a1e926e2802b2daf3c2836&chksm=871b299bb06ca08db37816a9b8bce1d38ddf957f25f37bd39fb6e9ce2da5c1120373a2a1e888&scene=21#wechat_redirect
[Link 52]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650729251&idx=2&sn=286437bff7106ddfb056ba56ee465191&chksm=871b2f5db06ca64b771a8e748535f51e5c3a5f947228fc84f91d5e2da665b2bb900908efe5f8&scene=21#wechat_redirect
[_ _Spotify]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731918&idx=4&sn=a0ae86a539e0d64ac4cf4cf42978a54d&chksm=871b31f0b06cb8e6ddebe71db7dfaa45c31ac8213962c4036d1fd14321417ecf4471fc89b4cf&scene=21#wechat_redirect
[Link 53]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725277&idx=3&sn=a0b08a2b34b1d1af93b960339665f781&chksm=871b1fe3b06c96f5b06b69b3cf9b8ef31345f30e65ee7e7b2c36942ae4c3e0b489655e762c9b&scene=21#wechat_redirect
[Link 54]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735464&idx=3&sn=211899c0c8f2b51f10ce9bf5132f2c82&chksm=871ac716b06d4e00c882c684feb9aa9374c44798f0b30d34c10a5b6c0da6c6af88d276910fa6&scene=21#wechat_redirect
[Keras]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735191&idx=4&sn=320f57ea1a09591d70a524f323398f49&chksm=871ac629b06d4f3f883b29d3d2fcf1356c4e1d79347289cbdfe0142e637b3c8418fc1bfbea5e&scene=21#wechat_redirect
[_ _Python_OpenCV 1]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731669&idx=2&sn=d59bb91f70250ca79ca6c349d2a80204&chksm=871b30ebb06cb9fd0e1e0ca2eaba6f3a5a2ec4a6a9d14b3c1dc3b5401e5854156de72242a31d&scene=21#wechat_redirect
[Link 55]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733162&idx=2&sn=12ea91e0f9aa58aa9a03ede7ace7ff2b&chksm=871b3e14b06cb702aec83e6377f81b86d90aef54df40713c64eb806ae34794972b70c0b45dc9&scene=21#wechat_redirect
[_ AI_Auto-Jump]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735815&idx=3&sn=9e8d36ead9ab2ca0d1771f51a255a18f&chksm=871ac0b9b06d49afbcddb7237a8083b22fda6d7419eb32a9c4dcab8ffc79d173c78e935a90d1&scene=21#wechat_redirect
[_ _LSTM 3]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650731602&idx=2&sn=8537108d6fdccad8701ce64165513e7d&chksm=871b302cb06cb93aac5939f95da6360c0724bb303a17e5b0bf95eb45044eaeaa8e2ac12a9dfb&scene=21#wechat_redirect
[TensorFlow 6]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733162&idx=1&sn=5b642582edb5131d5fe4637c614cd5e7&chksm=871b3e14b06cb70279f864366a3de1742a6044eaad992bdd30a31ba33eeedeec35d112a2018c&scene=21#wechat_redirect
[_ _ GitHub]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733548&idx=4&sn=e4783b546c5a00bd4f17245844c120d9&chksm=871b3f92b06cb684ecc39c1327d48d1b86c0fdc5a51c60d5afce42cfc0380e75d590725e90f3&scene=21#wechat_redirect
[8000_DL]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650733632&idx=1&sn=ccc28937465f5ed4cb8ebb076af1a70e&chksm=871b383eb06cb1289e64726b1dbeabc90bb7dd01bdcdd7bbe5e1a034068b6eb06063d44da48a&scene=21#wechat_redirect
[Link 56]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650735191&idx=3&sn=3da4096e96f16949a08468709bc17437&chksm=871ac629b06d4f3fc63358a1fc6f59c3f77e1235d845d7c4bb4872a60b1e85dbd82165148b7d&scene=21#wechat_redirect
[_ _Python 7]: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650728678&idx=3&sn=7df9c0cb6abddb724e7e589ad5d0ea96&chksm=871b2c98b06ca58ec4b2461bf3d2be31c40943973242868e98451d623c8d361095c536bff446&scene=21#wechat_redirect