tensorflow in r 설치

TensorFlow

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Installing TensorFlow

Prior to using the tensorflow R package you need to install a version of TensorFlow on your system. Below we describe how to install TensorFlow as well the various options available for customizing your installation.

Note that this article principally covers the use of the R install_tensorflow() function, which provides an easy to use wrapper for the various steps required to install TensorFlow.

You can also choose to install TensorFlow manually (as described at https://www.tensorflow.org/install/). In that case the Custom Installation section covers how to arrange for the tensorflow R package to use the version you installed.

 

 - 설치환경

   * RAM 16G

   * HDD 500G

   * Windows 7 

 - install.packages("tensorflow") 명령어를 이용하여 CRAN에서 tensorflow 설치 가능

<RStudio에서 tensorflow 설치>

 

Using  TensorFlow with R

The TensorFlow API is composed of a set of Python modules that enable con

structing and executing TensorFlow graphs. The tensorflow package provides access to the complete TensorFlow API from within R. Here’s a simple example of making up some data in two dimensions and then fitting a line to it:

 

 

 

- https://tensorflow.rstudio.com/installation.html