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tensorflow (version 2.8.0)

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

21,441

Version

2.8.0

License

Apache License 2.0

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Last Published

February 9th, 2022

Functions in tensorflow (2.8.0)

parse_arguments

Parse Command Line Arguments
install_tensorflow

Install TensorFlow and its dependencies
reexports

Objects exported from other packages
as_tensor

as_tensor
export_savedmodel

Export a Saved Model
all_dims

All dims
evaluate

Evaluate a Model
set_random_seed

Set random seed for TensorFlow
install_tensorflow_extras

(Defunct) Install additional Python packages alongside TensorFlow
parse_flags

Parse Configuration Flags for a TensorFlow Application
tf_extract_opts

Tensor extract options
tf_gpu_configured

TensorFlow GPU configuration information
tf_config

TensorFlow configuration information
tf

Main TensorFlow module
train_and_evaluate

Simultaneously Train and Evaluate a Model
shape

Create a tf.TensorShape object
[.tensorflow.tensor

Subset tensors with [
use_compat

Use Compatibility
view_savedmodel

View a Saved Model
use_session_with_seed

Use a session with a random seed
train

Train a Model
tensorboard

TensorBoard Visualization Tool
tensorflow

TensorFlow for R
tfe_enable_eager_execution

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

TensorFlow Probability Module
tf_function

Creates a callable TensorFlow graph from an R function.