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tensorflow (version 1.5)

R Interface to 'TensorFlow'

Description

Interface to 'TensorFlow' , 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.

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Install

install.packages('tensorflow')

Monthly Downloads

31,329

Version

1.5

License

Apache License 2.0

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Maintainer

JJ Allaire

Last Published

January 17th, 2018

Functions in tensorflow (1.5)

reexports

Objects exported from other packages
shape

Tensor shape
parse_arguments

Parse Command Line Arguments
parse_flags

Parse Configuration Flags for a TensorFlow Application
tf

Main TensorFlow module
tf_config

TensorFlow configuration information
install_tensorflow

Install TensorFlow and it's dependencies
install_tensorflow_extras

Install additional Python packages alongside TensorFlow
tensorboard

TensorBoard Visualization Tool
tensorflow

TensorFlow for R
tfe_enable_eager_execution

Enables, for the rest of the lifetime of this program, eager execution.
train

Train a Model
view_savedmodel

View a Saved Model
evaluate

Evaluate a Model
export_savedmodel

Export a Saved Model
train_and_evaluate

Simultaneously Train and Evaluate a Model
use_session_with_seed

Use a session with a random seed