R Interface to 'TensorFlow'
All dims
as_tensor
Evaluate a Model
Export a Saved Model
Install TensorFlow and its dependencies
Parse Command Line Arguments
Parse Configuration Flags for a TensorFlow Application
Objects exported from other packages
Set random seed for TensorFlow
Create a tf.TensorShape object
Subset tensors with [
TensorBoard Visualization Tool
TensorFlow for R
Main TensorFlow module
TensorFlow configuration information
Tensor extract options
Creates a callable TensorFlow graph from an R function.
TensorFlow GPU configuration information
TensorFlow Probability Module
(Deprecated) Train a Model
(Deprecated) Simultaneously Train and Evaluate a Model
Use Compatibility
Use a session with a random seed
View a Saved Model
Interface to 'TensorFlow' <https://www.tensorflow.org/>, 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.