Learn R Programming

⚠️There's a newer version (2.16.0) of this package.Take me there.

tensorflow (version 1.10)

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.

Copy Link

Version

Install

install.packages('tensorflow')

Monthly Downloads

31,329

Version

1.10

License

Apache License 2.0

Issues

Pull Requests

Stars

Forks

Maintainer

JJ Allaire

Last Published

November 19th, 2018

Functions in tensorflow (1.10)

use_session_with_seed

Use a session with a random seed
all_dims

All dims
evaluate

Evaluate a Model
view_savedmodel

View a Saved Model
install_tensorflow_extras

Install additional Python packages alongside TensorFlow
install_tensorflow

Install TensorFlow and its dependencies
parse_flags

Parse Configuration Flags for a TensorFlow Application
tf_config

TensorFlow configuration information
tensorboard

TensorBoard Visualization Tool
export_savedmodel

Export a Saved Model
tf

Main TensorFlow module
train

Train a Model
[.tensorflow.tensor

Subset tensors with [
parse_arguments

Parse Command Line Arguments
tf_extract_opts

Tensor extract options
reexports

Objects exported from other packages
tfe_enable_eager_execution

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

Tensor shape
train_and_evaluate

Simultaneously Train and Evaluate a Model
tensorflow

TensorFlow for R