Introduction to Tensorflow distributed deployment
A major feature of tensorflow-0.8 is that it can be deployed on distributed clusters. The content of this article is translated by the distributed deployment manual of Tensorflow, which links to the distributed deployment manual of TensorFlow.
Distributed
1. TensorFlow IntroductionNovember 29, the Google Brain Engineers team announced the inclusion of initial Windows support in TensorFlow 0.12.TensorFlow announced that open source has just been in the past year. With Google's support, TensorFlow has become the most popular machine learning Open source project on GitHub.
Google Development Technology Extension engineer Laurence Moroney a 42-minute speech at Google Cloud Next Conference on the theme of "what's New with tensorflow?". The author Cassie Kozyrkov The lecture and summarizes nine things about TensorFlow. Machine Heart of this article was compiled to introduce, I hope to help you.
I've summed up my favorite speech at Google Cloud Next Conference--what's New wi
Learning notes TF050: TensorFlow source code parsing, tf050tensorflow
TensorFlow directory structure.
ACKNOWLEDGMENTS # TensorFlow version DeclarationADOPTERS. md # list of people or organizations using TensorFlowAUTHORS # official list of TensorFlow AUTHORSBUILDCONTRIBUTING. md #
1. Install the compilation tool Bazel, you can refer to the official tutorial. https://docs.bazel.build/versions/master/install-ubuntu.html 2. Configure the TensorFlow compilation environment Run the Configure file under the TensorFlow directory and configure it according to your environment. For example, the following:
**root@fly-virtual-machine:/home/share/tensorf
http://blog.csdn.net/jerr__y/article/details/53695567 Introduction: This article mainly describes how to configure the GPU version of the TensorFlow environment in Ubuntu system. Mainly include:-Cuda Installation-CUDNN Installation-TensorFlow Installation-Keras InstallationAmong them, Cuda installs this part is the most important, Cuda installs after, whether is tensorf
This is the various model files generated by TensorFlow: Graphdef (. pb)-A protobuf that represents the TensorFlow training and or computation graph. This contains operators, tensors, and variables definitions. CheckPoint (. ckpt)-serialized variables from a tensorflow graph. This is does not contain the graph structure, so alone it cannot typically is interprete
My device: Ubuntu14.04+gpu
TensorFlow1.0.1
Related papers "Show and Tell:lessons learned from the Mscoco Image captioning Challenge"
https://arxiv.org/abs/1609.06647
Last September, just open source
Github:https://github.com/tensorflow/models/tree/master/im2txt#generating-captions
According to GitHub's Readme
Install related items First
Bazel according to the official website $echo "Deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk
, then we mainly introduce the whole process of using tensorflow serving to deploy the WDL model to the line, and how to optimize the online service performance, we hope to inspire you.Ii. business scenarios and offline processes 2.1 business scenariosIn the ads in the scene, for each user, there will be a maximum of hundreds of ad recall, the model based on user characteristics and each ad-related characteristics, the user estimates the number of eac
TensorFlow Introductory Tutorials 0:bigpicture The speed of introduction
TensorFlow Introductory Tutorial 1: Basic Concepts and understanding
TensorFlow Getting Started Tutorial 2: Installing and Using
TensorFlow Introductory Tutorials The basic definition of 3:CNN convolution neural network understanding
Learning notes TF056: TensorFlow MNIST, dataset, classification, visualization, tf056tensorflow
MNIST (Mixed National Institute of Standards and Technology) http://yann.lecun.com/exdb/mnist/, entry-level computer vision dataset, handwritten numbers for middle school students in the United States. The training set has 60 thousand images and the test set has 10 thousand images. The number is pre-processed, formatted, adjusted and centered, and the image
Tensorboard
Tensorboard's official website tutorials are as follows:Https://www.tensorflow.org/versions/r0.7/how_tos/summaries_and_tensorboard/index.html
A simple explanation: Tensorboard is a visual tool that can be used to view TensorFlow diagrams and various values and images in the process.1. Add "Summary operations" to the desired node in the TensorFlow program, and "Summary operations" collects the n
TensorFlow Installation and Example-(Ubuntu16.04.1 Anaconda3)
Python-pip and Python-dev
PIP is the default package manager for Python, install TensorFlow directly with PIP, install both packagesCommand: Apt-get install PYTHON-PIP Python-dev python-virtualenvYou can virtualenv create an isolated container to install TensorFlow. This is optional, whi
79760616Recently began to learn the relevant knowledge of deep learning, ready to combat, read some about TensorFlow installation blog, around a few bends, so to fill the pit (redundant installed or non-Windows), mainly around the use of pycharm need to tensorflow installation process.Environment: WINDOWS10 Professional Edition. Just want to run a little bit tensorflow
prompts to install the end of the line. After the test is installed, the command line enters Nvcc-v and the version information indicates that the installation was successful.(2), download CUDNNTensorFlow version different, the need for the CUDNN version is not the same, see TensorFlow release notes, such as: tensorflow1.3 Release Notes
Configure CUDNN
Download to the corresponding version of CUDNN (tensorflow1.3 need cuDNN6, can be dow
One, Python installationCentOS comes with python2.7.5, this step can be omitted.Second, Python-pipPip--python index package, lifetimes Linux yum, installs the Management Python software pack.Yum Install Python-pip python-develThird, installation TensorFlowInstalling Linux and python2.7-based TensorFlow 0.9Pip Install https://storage.googleapis.com/tensorflow/linux/cpu/
Time of instruction:This course will begin on April 1. The duration of the course is approximately 14 weeks. Subject:People who are interested in deep learning AI, who want to learn about deep learning practices. learners need a little bit of the basics of Python development and deep learning, neural network fundamentalsCourse Environment:Windows10 + AnacondaHarvest Expectations:Master the basic use of TensorFlow and Tensorboard, can skillfully use
Win10 TensorFlow (GPU) installation detailedWritten in front: TensorFlow is Google's second generation of AI learning systems based on Distbelief, and its naming comes from its own operating principles. Tensor (tensor) means that n-dimensional arrays, flow (flow) means that based on the calculation of the flow graph, the TensorFlow is the calculation process of t
Learning notes TF049: TensorFlow model storage and loading, queue threads, loading data, custom operations, tf049tensorflow
Generate the checkpoint file (chekpoint file). The extension is. ckpt, And the tf. train. Saver object is generated by calling Saver. save. Contains weights and other program-Defined variables, excluding the graph structure. Another program needs to re-create the graphic structure to tell Ten
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