by JJ Allaire
Type Package
Date 2016-10-11
License Apache License 2.0
URL https://github.com/rstudio/tensorflow
BugReports https://github.com/rstudio/tensorflow/issues
SystemRequirements Python (>= 2.7.0) with header files and shared library; TensorFlow (https://www.tensorflow.org/)
Encoding UTF-8
LazyData true
LinkingTo Rcpp
RoxygenNote 5.0.1

R Interface to 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.
Full Readme

Functions in tensorflow

Name Description
with-as-operator Create local alias for objects in with statements.
dict Create Python dictionary
import Import a Python module
tensorflow TensorFlow for R
with.tensorflow.builtin.object Evaluate an expression within a context.
shape Tensor shape
tf Main TensorFlow module
parse_flags Parse script FLAGS from command line
iterate Traverse a Python iterator or generator
tf_config TensorFlow configuration information
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