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About TensorFlow a very good article, reprinted from the "TensorFlow deep learning, an article is enough" click to open the link
Google is not only the leader in big data and cloud computing, but also has a good practice and accumulation in machine learning and deep learning, and at the end of 2015, open Source was used internally by the deep learning framework TensorF
Automatic layout adjustment algorithm for moving node after Node-link visualizationIf the project, Hypergraph visualization, with Node-link can be said to be more than mature, whether it is d3.js or a variety of other JavaScript libraries such as Sigma.js. However, most of the library is SVG, on the one hand, SVG is more convenient to bind events, on the other hand, SVG is also easy to define CSS to extend the style. Based on the implementation of the
This article directory
Introduction based on Anaconda tensorflow install 1 download Linux version of Anaconda installation package 2 Install Anaconda use Anaconda installation TensorFlow 1 establish a Conda computing environment 2 activation environment using Conda installation TensorFlow 3 Installation TensorFlow 4 Ho
Spatial Economic computing visualization
Visualization is a theory, method, and technology that uses computer graphics and image processing technology to convert data into graphs or images displayed on the screen and perform interactive processing. It involves many fields such as computer graphics, image processing, computer vision, and computer-aided design. It has become a comprehensive technology that
function. The cost function is represented by the decoder output and the least square expression of the original input. The optimizer uses the AdamOptimizer training phase to process all training data in each cycle. After training, the training results are compared with the original data visualization. For example, the restoration degree is high. If you increase the number of training cycles or the number of layers of the Self-encoder, you can achiev
As a result of the recent busy, until the holidays are empty, so will learn from their own knowledge to share. If there is a wrong place, please point out, thank you! At present the deep study is getting more and more fire, the related worker who learns, uses TensorFlow more and more. Recently, a Python script was used to train the model under the TensorFlow line, and the Freeze_graph tool was used to outpu
I. Recommended TWO websites
TensorFlow Official Document: Https://www.tensorflow.org/install/install_windows
TensorFlow Chinese Community: http://www.tensorfly.cn/tfdoc/get_started/os_setup.html
Two. install TensorFlow on WindowsDirectory:
Determine the TensorFlow to install
Requirements
Install TensorFlow in Python2.7 in Ubuntu 16.04
My system environment:
Ubuntu 16.04 LTS
Python 1, 2.7
Python 1, 3.5
Two TensorFlow versions:
TensorFlow is installed in the following ways:
Virtualenv
Pip
Docker
Anaconda
Source code compilation
Pip is the Python software package management system: Pip Install Packages recursive abbreviation
The Command
Brief Introduction
Tensorflow-bitcoin-robot: A Bitcoin price prediction robot based on the TensorFlow lstm model.
The article includes a few parts:1. Why try to do this project.2. Why did you choose this model?3. Where does the data from the model come from.4. The optimization process of the model.5. The direction in which the project can be further improved.
The recent performance of the digital currency,
Install TensorFlow in virtualenv mode on Ubuntu
This article describes how to install tensorflow in virtualenv mode on Ubuntu.
Install pip and virtualenv:
# Ubuntu/Linux 64-bit
Sudo apt-get install python-pip python-dev python-virtualenv
# Mac OS X
Sudo easy_install pip
Sudo pip install -- upgrade virtualenv
Create a Virtualenv virtual environment:
Go to the parent directory where you want to install
1. Data Visualization (full color)
In the face of complex big data, visualization provides a good interpretation angle and method, and is a powerful tool for big data analysis and application.
For the first time, this book comprehensively and meticulously combs the history, theories, tools, and application cases of visualization, as well as illustrations and
It was an incredibly simple thing to install TensorFlow, but it was on my computer for one weeks. During the encounter all kinds of trouble, all kinds of pits, in this record, convenient for everyone. Errors include:
Undefined symbol:zgelsd_
Importerror:cannot import name ' MultiArray '
WHL is not a supported wheel
1, install Anaconda: https://www.continuum.io/downloads/(i installed linux-64-python3.6)I started off directly in Py
TensorFlow is an open source software library that uses data flow diagrams for numerical calculations. In other words, that's the best way to build a deep learning model. This article collates some excellent tutorials and a list of projects on TensorFlow.
First, the tutorial
TensorFlow Tutorial 1-from basics to more interesting
Learning notes TF064: TensorFlow Kubernetes, tf064tensorflow
AlphaGo: each experiment has 1000 nodes and each node has 4 GPUs and 4000 GPUs. Siri: 2 nodes and 8 GPUs for each experiment. AI research relies on massive data computing, instead of performance computing resources. The larger cluster running model shortens the weekly training time to the day-level hour level. Kubernetes, the most widely used container cluster management tool, distributed
Linux Data Visualization ToolThere are a number of applications for graphical visualization of data on Linux, from simple 2-d drawings to the-to-date cartography, to scientific graphics programming and graphical simulations. Fortunately, there are many open source implementations of these tools, including Gnuplot, GNU Octave, Scilab, MayaVi, and Maxima. Each tool has its own pros and cons and is designed fo
This article describes how to install TensorFlow in virtualenv mode on Ubuntu.Install Pip and virtualenv:# ubuntu/linux 64-bitsudo apt-get install python-pip python-dev python-virtualenv# Mac OS xsudo easy_install pipsudo pip I Nstall--upgrade virtualenvTo create a virtualenv virtual environment:Enter the parent directory where you want to install TensorFlow, and then execute the following command to establ
* Record the configuration process, the content is basically the configuration of the problems encountered in each step and the corresponding method found on the Internet, the format will be more confusing. Make some records for the younger brothers and sisters to build a new server to provide some reference (if the teacher to buy a new server), but also hope to help people in need.
System configuration: CPU Xeon e5-2620 V3, Gpu:nvida TITAN X, Os:ubuntu 14.04
Laboratory to block Titan X, the s
Document Source reprint: http://blog.csdn.net/u010099080/article/details/53418159Http://blog.nitishmutha.com/tensorflow/2017/01/22/TensorFlow-with-gpu-for-windows.htmlPre-Installation PreparationThere are two versions of TensorFlow: CPU version and GPU version. The GPU version requires CUDA and CuDNN support, and the CPU version is not required. If you want to in
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