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tensorflow (version 1.8)

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

24,611

Version

1.8

License

Apache License 2.0

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Maintainer

JJ Allaire

Last Published

June 14th, 2018

Functions in tensorflow (1.8)

tf_extract_opts

Tensor extract options
tfe_enable_eager_execution

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

Export a Saved Model
parse_arguments

Parse Command Line Arguments
all_dims

All dims
evaluate

Evaluate a Model
shape

Tensor shape
train

Train a Model
install_tensorflow

Install TensorFlow and its dependencies
train_and_evaluate

Simultaneously Train and Evaluate a Model
parse_flags

Parse Configuration Flags for a TensorFlow Application
tensorboard

TensorBoard Visualization Tool
use_session_with_seed

Use a session with a random seed
install_tensorflow_extras

Install additional Python packages alongside TensorFlow
tensorflow

TensorFlow for R
[.tensorflow.tensor

Subset tensors with [
reexports

Objects exported from other packages
tf

Main TensorFlow module
view_savedmodel

View a Saved Model
tf_config

TensorFlow configuration information