tfestimators: High-level Estimator API in TensorFlow for R
In rstudio/tflearn: Interface to 'TensorFlow' Estimators
Description
This library provides an R interface to the
Estimator
API inside TensorFlow that's designed to streamline the process of creating,
evaluating, and deploying general machine learning and deep learning models.
Details
TensorFlow is 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.
The TensorFlow
API is composed of a set of Python modules that enable constructing and
executing TensorFlow graphs. The tensorflow package provides access to the
complete TensorFlow API from within R.
For additional documentation on the tensorflow package see
https://tensorflow.rstudio.com
rstudio/tflearn documentation built on Nov. 25, 2021, 2:45 a.m.
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Description
This library provides an R interface to the Estimator API inside TensorFlow that's designed to streamline the process of creating, evaluating, and deploying general machine learning and deep learning models.
Details
TensorFlow is 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.
The TensorFlow API is composed of a set of Python modules that enable constructing and executing TensorFlow graphs. The tensorflow package provides access to the complete TensorFlow API from within R.
For additional documentation on the tensorflow package see https://tensorflow.rstudio.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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