TensorFlow 中文资源全集,官方网站,安装教程,入门教程,实战项目,学习路径。

本文是全系列中第7 / 8篇:TensorFlow 教程大全

TensorFlow 中文资源全集,学习路径推荐:

Github 项目地址(欢迎 Star,Fork):
TensorFlow 中文资源精选,官方网站,安装教程,入门教程,视频教程,实战项目,学习路径。

  • 官方网站,初步了解。
  • 安装教程,安装之后跑起来。
  • 入门教程,简单的模型学习和运行。
  • 实战项目,根据自己的需求进行开发。

很多内容下面这个英文项目:

Inspired by

https://github.com/jtoy/awesome-tensorflow

官方网站

  • 官网:https://www.tensorflow.org/

  • 中文:https://tensorflow.google.cn/

  • GitHub:https://github.com/tensorflow

安装教程

中文安装教程

  • Mac安装:http://www.cnblogs.com/tensorflownews/p/7298646.html

  • 极客学院教程:http://wiki.jikexueyuan.com/project/tensorflow-zh/get_started/os_setup.html

官方安装教程(建议用官方教程,现在官网可以直接访问了。)

  • Mac:https://tensorflow.google.cn/install/install_mac

  • Windows:https://tensorflow.google.cn/install/install_windows

  • Linux:https://tensorflow.google.cn/install/install_linux

入门教程

官方入门教程

  • 开始学习:https://tensorflow.google.cn/get_started/

  • MNIST 针对初学者的字体识别:https://tensorflow.google.cn/get_started/mnist/beginners

  • MNIST 针对专业的深度字体识别:https://tensorflow.google.cn/get_started/mnist/pros

入门教程

  • 极客学院:http://wiki.jikexueyuan.com/project/tensorflow-zh/

  • 大U的技术课堂:https://zhuanlan.zhihu.com/p/22410917

  • TensorFlowNews:https://zhuanlan.zhihu.com/TensorFlownews

实战项目

官方实战项目

Models built with TensorFlow

  • models:https://github.com/tensorflow/models

Magenta: Music and Art Generation with Machine Intelligence

  • magenta:https://github.com/tensorflow/magenta

TensorFlow Neural Machine Translation Tutorial

  • nmt:https://github.com/tensorflow/nmt

书籍(推荐)

Deep Learning

Deep Learning An MIT Press book

Deep Learning 中文翻译

Deep Learning Book Chinese Translation

社区群组

QQ群

522785813

微信群

微信群二维码有效期太短了,我博客保持更新。

http://www.tensorflownews.com/

我系统的学习了两个月之后做的几个项目。

TensorFlow 卷积神经网络 Model Project:

FaceRank – Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型(可能是最有趣的 TensorFlow 中文入门实战项目)

https://github.com/fendouai/FaceRank

TensorFlow 循环神经网络 Model Project:

一个比特币交易机器人基于 Tensorflow LSTM 模型,仅供娱乐。 A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

https://github.com/TensorFlowNews/TensorFlow-Bitcoin-Robot

TensorFlow Seq2Seq Model Project:

ChatGirl is an AI ChatBot based on TensorFlow Seq2Seq Model.ChatGirl 一个基于 TensorFlow Seq2Seq 模型的聊天机器人。(包含预处理过的 twitter 英文数据集,训练,运行,工具代码,可以运行但是效果有待提高。)

https://github.com/fendouai/ChatGirl

教程

模型项目

基于 TensorFlow 的产品

  • YOLO TensorFlow – Implementation of ‘YOLO : Real-Time Object Detection’
  • android-yolo – Real-time object detection on Android using the YOLO network, powered by TensorFlow.
  • Magenta – Research project to advance the state of the art in machine intelligence for music and art generation

视频

论文

官方博客

博客文章

社区

书籍

  • Machine Learning with TensorFlow by Nishant Shukla, computer vision researcher at UCLA and author of Haskell Data Analysis Cookbook. This book makes the math-heavy topic of ML approachable and practicle to a newcomer.
  • First Contact with TensorFlow by Jordi Torres, professor at UPC Barcelona Tech and a research manager and senior advisor at Barcelona Supercomputing Center
  • Deep Learning with Python – Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee
  • TensorFlow for Machine Intelligence – Complete guide to use TensorFlow from the basics of graph computing, to deep learning models to using it in production environments – Bleeding Edge Press
  • Getting Started with TensorFlow – Get up and running with the latest numerical computing library by Google and dive deeper into your data, by Giancarlo Zaccone
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow – by Aurélien Geron, former lead of the YouTube video classification team. Covers ML fundamentals, training and deploying deep nets across multiple servers and GPUs using TensorFlow, the latest CNN, RNN and Autoencoder architectures, and Reinforcement Learning (Deep Q).
  • Building Machine Learning Projects with Tensorflow – by Rodolfo Bonnin. This book covers various projects in TensorFlow that expose what can be done with TensorFlow in different scenarios. The book provides projects on training models, machine learning, deep learning, and working with various neural networks. Each project is an engaging and insightful exercise that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors.

Github 项目地址(欢迎 Star,Fork):
TensorFlow 中文资源精选,官方网站,安装教程,入门教程,视频教程,实战项目,学习路径。

QQ群:522785813

微信群(首页右侧):http://www.tensorflownews.com/

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