tensorflow

[wanghaisheng]

TensorFlow人工智能引擎入门教程所有目录 http://my.oschina.net/yilian/blog/664632

TensorFlow 人工智能引擎 入门教程之一 基本概念以及理解 TensorFlow人工智能引擎入门教程之三 实现一个自创的CNN卷积神经网络 TensorFlow人工智能引擎入门教程之四 TensorBoard面板可视化管理 TensorFlow人工智能引擎入门教程之五 AlphaGo 的策略网络（CNN）简单的实现 TensorFlow人工智能引擎入门教程之七 DNN深度神经网络 的原理 以及 使用 TensorFlow人工智能引擎入门教程之九 RNN循环网络原理以及 使用

TensorFlow人工智能引擎入门教程之十 最强网络 RSNN深度残差网络 平均准确率96-99% TensorFlow人工智能入门教程之十一 最强网络DLSTM 双向长短期记忆网络（阿里小AI实现）

TensorFlow人工智能引擎入门教程之十二 Tensorflow Caffe相互转换 TensorFlow人工智能引擎入门教程之十四 Tensorflow 自定义文件Reader 自定义数据train来源 TensorFlow人工智能引擎入门教程之十五 Tensorflow CNN 人脸识别 人脸侦测 声音识别 动作识别 训练 TensorFlow人工智能引擎入门教程之十六 Tensorflow 并行多台服务器计算训练

[wanghaisheng]

'Ready to use implementations of various Deep Learning algorithms using TensorFlow' by Gabriele Angeletti GitHub: O https://github.com/blackecho/Deep-Learning-TensorFlow

[wanghaisheng]

TensorFlow人工智能引擎入门教程之九 RNN/LSTM循环神经网络长短期记忆网络使用  http://my.oschina.net/yilian/blog/665412?fromerr=EYXhnUpm

[wanghaisheng]

'Distributed TensorFlow on Spark, first presented at the 2016 Spark Summit East' GitHub: O

https://github.com/adatao/tensorspark Slide deck: http://www.slideshare.net/arimoinc/distributed-tensorflow-scaling-googles-deep-learning-library-on-spark-58527889 Video of talk will be posted when available.

[wanghaisheng]

Generative Handwriting using LSTM Mixture Density Network with TensorFlow https://github.com/hardmaru/write-rnn-tensorflow

[wanghaisheng]

"TensorFlow学习笔记" by Jey Zhang Part1.入门 O网页链接 Part2.构建CNN模型 O网页链接 Part3.词向量 O网页链接 @littlePP24 这三篇抽业余时间看一下 相当之重要？

[wanghaisheng]

FaceNet implementation in Tensorflow

This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering" http://arxiv.org/abs/1503.03832

[wanghaisheng]

理解和实现分布式TensorFlow集群完整教程 http://weibo.com/ttarticle/p/show?id=2309403988813608274928 @littlePP24 @ndwx325 两个都看一下这篇 尝试一下能否搭起来

[wanghaisheng]

分布式TensorFlow应用设计 http://weibo.com/ttarticle/p/show?id=2309404005132982440427

[wanghaisheng]

@zhuguangqiang https://github.com/tensorflow/ecosystem 等rancher弄好了 看能不能基于rancher 跑一个这里的例子 https://github.com/k8sp/k8s-tensorflow/issues/38

[zhuguangqiang]

ok

------------------ Original ------------------ From: "wanghaisheng"notifications@github.com; Date: Tue, Nov 1, 2016 09:06 PM To: "clear-datacenter/plan"plan@noreply.github.com; Cc: "zhuguangqiang"zhuguangqiang@clearofchina.com; "Mention"mention@noreply.github.com; Subject: Re: [clear-datacenter/plan] tensorflow (#3)

@zhuguangqiang https://github.com/tensorflow/ecosystem 等rancher弄好了 看能不能基于rancher 跑一个这里的例子

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[wanghaisheng]

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab. https://github.com/martin-gorner/tensorflow-mnist-tutorial

[wanghaisheng]

昨晚手贱误删了以前blog的md源文件，可能这正是一个new start吧。更新三篇。主要讲这周用Tensorflow+CNN识别6位数字字母混合验证码的一些想法。效果还不错，1小时能达到98%以上准确率。文章中详细讲了如何使用tfrecords构建数据集，如何用Coordinator在训练时多线程调度数据，如何设计整个tensorflow项目的分析思路。分三部分， http://lan2720.github.io/2016/11/09/%E3%80%90tensorflow6%E4%BD%8D%E9%AA%8C%E8%AF%81%E7%A0%81%E5%AE%9E%E6%88%98-1%E3%80%91%E8%B7%9F%E7%9D%80cifar10%E5%AD%A6%E5%A6%82%E4%BD%95%E6%89%93%E5%8C%85%E5%9B%BE%E5%83%8F%E6%95%B0%E6%8D%AE%E9%9B%86/ http://lan2720.github.io/2016/11/09/%E3%80%90Tensorflow6%E4%BD%8D%E9%AA%8C%E8%AF%81%E7%A0%81%E5%AE%9E%E6%88%98-2%E3%80%91%E5%A6%82%E4%BD%95%E4%BD%BF%E7%94%A8TFRecords%E5%A4%84%E7%90%86%E6%95%B0%E6%8D%AE%E9%9B%86/ http://lan2720.github.io/2016/11/09/%E3%80%90Tensorflow6%E4%BD%8D%E9%AA%8C%E8%AF%81%E7%A0%81%E5%AE%9E%E6%88%98-3%E3%80%91%E5%A6%82%E4%BD%95%E6%9E%84%E5%BB%BAmodel-py%E5%92%8Ctrain-py/ @zhuguangqiang @littlePP24 @liaicheng 这个可以作为胶片OCR中影像号识别的延展

[zhuguangqiang]

ok，我好好读一下

------------------ Original ------------------ From: "wanghaisheng"notifications@github.com; Date: Wed, Nov 9, 2016 10:48 PM To: "clear-datacenter/plan"plan@noreply.github.com; Cc: "zhuguangqiang"zhuguangqiang@clearofchina.com; "Mention"mention@noreply.github.com; Subject: Re: [clear-datacenter/plan] tensorflow (#3)

昨晚手贱误删了以前blog的md源文件，可能这正是一个new start吧。更新三篇。主要讲这周用Tensorflow+CNN识别6位数字字母混合验证码的一些想法。效果还不错，1小时能达到98%以上准确率。文章中详细讲了如何使用tfrecords构建数据集，如何用Coordinator在训练时多线程调度数据，如何设计整个tensorflow项目的分析思路。分三部分， http://lan2720.github.io/2016/11/09/%E3%80%90tensorflow6%E4%BD%8D%E9%AA%8C%E8%AF%81%E7%A0%81%E5%AE%9E%E6%88%98-1%E3%80%91%E8%B7%9F%E7%9D%80cifar10%E5%AD%A6%E5%A6%82%E4%BD%95%E6%89%93%E5%8C%85%E5%9B%BE%E5%83%8F%E6%95%B0%E6%8D%AE%E9%9B%86/ http://lan2720.github.io/2016/11/09/%E3%80%90Tensorflow6%E4%BD%8D%E9%AA%8C%E8%AF%81%E7%A0%81%E5%AE%9E%E6%88%98-2%E3%80%91%E5%A6%82%E4%BD%95%E4%BD%BF%E7%94%A8TFRecords%E5%A4%84%E7%90%86%E6%95%B0%E6%8D%AE%E9%9B%86/ http://lan2720.github.io/2016/11/09/%E3%80%90Tensorflow6%E4%BD%8D%E9%AA%8C%E8%AF%81%E7%A0%81%E5%AE%9E%E6%88%98-3%E3%80%91%E5%A6%82%E4%BD%95%E6%9E%84%E5%BB%BAmodel-py%E5%92%8Ctrain-py/ @zhuguangqiang @littlePP24 @liaicheng 这个可以作为胶片OCR中影像号识别的延展

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[BigUncle]

@wanghaisheng 你好,你的文章删除了?能不能再发出来供大家学习下呢?

[wanghaisheng]

@cybersalon 不好意思 那个也是引用 不是我自己的