tensorflow repository

Recently learning TensorFlow, of course, the premise is to install a good framework, many online tutorials are virtual or conda, from my experience, Windows is currently only supported Python3.5 version of the installation, Python official online has instructions:I Python27 because of the commonly used is the change of a bit:Download anaconda2 and install to D:\anacondaDownload Anaconda3: Note The version, the integration must be Python3.5, the latest

The first blog, the main record of the installation of deep Learning Framework (TensorFlow), installed very simple (a word), started I thought it was troublesome, no n card, do not know how to start. Okay, here we are.I generally like the pydev of Eclipse (personal feeling is very useful), then Python is mainly Anconda (Tsinghua Mirror), loading TensorFlow1. Download Anconda3, Baidu ancond Tsinghua Mirror, download anconda3-cp35-cp35m-xxxx, download t

Official website: http://tensorflow.org/Installation steps:1, sudo apt-get install Python-pip python-dev python-virtualenv2, virtualenv--system-site-packages ~/tensorflow3. CD ~/tensorflow4. Source Bin/activate # If using bash5, (TensorFlow) $ pip Install TENSORFLOW-0.5.0-CP27-NONE-LINUX_X86_64.WHLTest:1. Open the terminal input CD TensorFlow2. SOURCE Bin/activate3. Python4. Enter the following example afte

TensorFlow learning --- getting started (1) ----- MNIST machine learning, References: http://www.tensorfly.cn/tfdoc/tutorials/mnist_beginners.html Data: http://wiki.jikexueyuan.com/project/tensorflow-zh/tutorials/mnist_download.html Environment: windows + Python3.5 + tensorflow Python code From tensorflow. examples. tu

In deep learning, regardless of the learning framework, we encounter an important problem, that is, after training, how to store the depth of the network parameters. How these network parameters are invoked at the time of the test. In response to these two questions, this blog post explores how TensorFlow solves them. This blog is divided into three parts, the first is to explain tensorflow related function

first, to enter the Anaconda website Download https://www.anaconda.com/download/ Everyone according to their own computer configuration download the corresponding version, I download here is the version of python3.6version 64bit After downloading and installing, open CMD, enter ' Conda--version ', if output the following information 4.3.21 Anaconda installation was successful. 2. Install TensorFlow Because the foreign mirror download is s

The previous article has introduced the implementation of convolution, this article we learn the deconvolution principle, again, after understanding the deconvolution principle, in the back hand-written Python code to implement the deconvolution. 1 Inverse convolution principle The deconvolution principle does not work well with text descriptions, where the deconvolution process is described directly in a simple example. Suppose the input is as follows: [[1,0,1], [0,2,1], [1,1,0]] The deconvo

This book is published by only cloud technology Caicloud, the main content is familiar with the basic structure of TensorFlow framework and practical application in the field of depth learning.For specific code see:1. Official:Caicloud/tensorflow-tutorial:example tensorflow codes and Caicloud TensorFlow as a Service de

3 Ways of reading data There are 3 ways to read data in a TensorFlow program:Supply data (feeding): At each step in the TensorFlow program, let the Python code supply the data.Reading data from a file: At the beginning of the TensorFlow graph, let an input pipeline read the data from the file.Preload data: Define constants or variables in the