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tensorflow (version 2.5.0)

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

2.5.0

License

Apache License 2.0

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Maintainer

Tomasz Kalinowski

Last Published

June 10th, 2021

Functions in tensorflow (2.5.0)

[.tensorflow.tensor

Subset tensors with [
view_savedmodel

View a Saved Model
export_savedmodel

Export a Saved Model
install_tensorflow

Install TensorFlow and its dependencies
tensorboard

TensorBoard Visualization Tool
parse_arguments

Parse Command Line Arguments
tf_extract_opts

Tensor extract options
parse_flags

Parse Configuration Flags for a TensorFlow Application
use_session_with_seed

Use a session with a random seed
tf_config

TensorFlow configuration information
tensorflow

TensorFlow for R
tf_probability

TensorFlow Probability Module
set_random_seed

Set random seed for TensorFlow
install_tensorflow_extras

Install additional Python packages alongside TensorFlow
shape

Tensor shape
use_compat

Use Compatibility
reexports

Objects exported from other packages
tf

Main TensorFlow module
tfe_enable_eager_execution

(Deprecated) Enables, for the rest of the lifetime of this program, eager execution.
evaluate

Evaluate a Model
all_dims

All dims
train

Train a Model
train_and_evaluate

Simultaneously Train and Evaluate a Model
tf_function

Creates a callable TensorFlow graph from an R function.
tf_gpu_configured

TensorFlow GPU configuration information