tensorflow

Welcome reprint, but please be sure to indicate the source and author information. TensorFlow Introduction (i) Basic usage Refer to:http://wiki.jikexueyuan.com/project/tensorflow-zh/get_started/basic_usage.html@author: Huangyongye@date: 2017-02-25 This example is mainly based on TensorFlow's Chinese documentation to learn the basic usage of tensorflow. According

about TensorFlow The TensorFlow is an open source software library that uses a data flow graph (graphs) for numerical calculations. A node (Nodes) represents a mathematical operation in a diagram, and a line (edges) in the graph represents a multidimensional array of data that is interconnected between nodes, that is, tensor (tensor). Its flexible architecture allows you to expand calculations on multiple

The release of TensorFlow itself is based on Ubuntu, so it's more convenient under Ubuntu than under Windows. There are three kinds of installation methods, see TensorFlow the second chapter of the construction of the environment. This article describes using PIP to install CPU-based TensorFlow.1, download install pip:$ sudo apt-get install Python-pip Python-dev2

Win10 + python3.6 + VSCode + tensorflow-gpu + keras + cuda8 + cuDN6N environment configuration, win10cudn6n Preface: Before getting started, I knew almost nothing about python or tensorflow, so I took a lot of detours When configuring this environment, it took a whole week to complete the environment... However, the most annoying thing is that it is difficult to set up the environment. Because my laptop is

Installing DockerBefore only the Docker file, not how to contact the installation of Docker environment, this time also try it, first download DockerToolbox.exeAfter the installation is complete, the startup script start.sh, will default to check the version, if it is installed at the same time VirtualBox, it is recommended to restart, this card for a long time, has been reported to start vboxmanage abnormal, find a half day reason ...This step on the Internet is still a lot of information, Dock

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbersTensorFlow implements Softmax Regression (Regression) to recognize handwritten numbers. MNIST (Mixed National Institute of Standards and Technology database), simple machine vision dataset, 28x28 pixels handwritten number, only grayscale value information, blank part is 0, handwriting according to the color depth of [0, 1], 784 dimension. Two-di

Basic TensorFlow usage example This article is based on Python3 TensorFlow 1.4. This section describes the basic usage of TensorFlow by using the simplest example, plane fitting. The introduction method of constructing TensorFlow is as follows: Import tensorflow as tf Next,

Originating From: https://blog.csdn.net/jerr__y/article/details/61195257 Welcome reprint, but please be sure to indicate the source and author information. @author: Huangyongye@creat_date: 2017-03-09 According to my own learning TensorFlow realize LSTM experience, found that although there are many tutorials on the internet, many of them are based on the official examples, using multilayer LSTM to achieve Ptbmodel language model, such as:TensorFlow no

In the previous TensorFlow Exercise 1 I mentioned a high-level library using TensorFlow as the backend, called Keras, which is a high-level neural network Python library. In TensorFlow Exercise 1, I was manually defining a neural network, with a few lines of code to take care of it. The first Keras use Theano as the back end,

TensorFlow provides two levels of API, and the underlying TensorFlow core provides complete control for researchers. Higher-level use is simpler, such as Tf.contrib.learn, but contrib is still in the update TensorFlow operation of the core layer The data units in the TensorFlow are represented by tensor, and the tensor

1. Use command:sudo pip3 install--upgrade \ https://storage.googleapis.com/tensorflow/linux/cpu/ TENSORFLOW-1.1.0RC2-CP35-CP35M-LINUX_X86_64.WHL installation.The following issues were encountered:TENSORFLOW-1.1.0RC2-CP35-CP35M-LINUX_X86_64.WHL is a supported wheelon this platform.Try several versions to report the same error and do not support the platform.2. Change the command PIP3 install

Try installing a set of TensorFlow under Windows, due to the need for work. Just before the machine has been installed anaconda, can be directly through the Anaconda Navigator. Launch Anaconda Navigator, go to Environment Settings page (environments) 2. Click the Create button under the root environment to create a new environment named TensorFlow (because the window version of

TensorFlow is an open source software library for machine learning for a variety of perceptual and language understanding tasks. It is currently used by 50 teams to research and produce many Google business products, such as voice recognition, Gmail, Google albums and search, many of which have used their predecessor software Distbelief. Originally developed by the Google Brain team for Google Research and production,

There is INCEPTION-V3 model Python implementation on GitHub at:https://github.com/tensorflow/models/tree/master/inceptionThere is several shell scripts In/inception/inception/data folder. These scripts only can run on the Linux OS, especially on Ubuntu. So. How can we set up the INCEPTION-V3 model on Windows. Let's dive into these scripts code.In download_and_preprocess_flowers.sh.First, the script download flower_photo.tgz file from the Web. Second,

60 characters to solve Fizzbuzz problem:For x in range (101):p rint "Fizz" [x%3*4::]+ "Buzz" [X%5*4::]or XThe following is solved with TensorFlow, compared with the above is very complex, but very interesting, and suitable for learning tensorflow, Divergent thinking, expand the scope of TensorFlow application.TensorFlow Application FizzbuzzReprint Please specify

Deployment environment:Operating system: CentOS release 6.5 (Final)Python version:Python 2.7.10 (default, Dec 22 2016, 14:45:25)[GCC 4.8.2] on linux2[[email protected] ~]# pythonPython 2.7.10 (default, Dec 22 2016, 14:45:25)[GCC 4.8.2] on linux2Type "Help", "copyright", "credits" or "license" for more information.>>> Import TensorFlowSegmentation fault (core dumped)[Email protected] ~]#Workaround:Problem: scipy and TensorFlow conflictDeployment enviro

TensorFlow also fire for a period of time, think that since to study NLP, why not apply Google Open-source deep learning platform, all the first start from the environment.Many of the great gods have done this work, absorbing the experience of others, centos7+python3+TensorFlow"Note: Official documents (Chinese version) said that the current TensorFlow API needs

Now to make an Android app based on image recognition, leaving aside the UI part, the first thing to do is to run TensorFlow on Android.There are two ways to use TensorFlow on Android: TensorFlow for Mobile, more mature, contains many functional methods. TensorFlow Lite, is a 1 upgrade version, currently i

I downloaded the TENSORFLOW-1.5.0RC1-CP36-CP36M-WIN32.WHL first, then the command line installation.: Https://pypi.python.org/pypi/tensorflow/1.5.0rc1Pip Install TENSORFLOW-1.5.0RC1-CP36-CP36M-WIN32.WHLPIP installation Error: is not a supported wheel in this platformHttps://www.cnblogs.com/nice-forever/p/5371906.htmlDry Win10 Installation

Google released the open source depth learning tool TensorFlow. HTTP://TENSORFLOW.ORG/TUTORIALS/MNIST/BEGINNERS/INDEX.MD trial According to the official tutorial. The operating system is Ubuntu 14.04, 64 bits, Python 2.7, and has enough Python packages installed. 1. Installation 1.1 Reference Documentation Http://tensorflow.org/get_started/os_setup.md#binary_installation1.2 with PIP installation, need to use agents, or not even, this is the local