kerasR: Keras Models in R

In kerasR: R Interface to the Keras Deep Learning Library

Keras Models in R

Description

Keras is a high-level neural networks API, originally written in Python, and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. This package provides an interface to Keras from within R. All of the returned objects from functions in this package are either native R objects or raw pointers to python objects, making it possible for users to access the entire keras API. The main benefits of the package are (1) correct, manual parsing of R inputs to python, (2) R-sided documentation, and (3) examples written using the API.

Details

Most functions have associated examples showing a working example of how a layer or object may be used. These are mostly toy examples, made with small datasets with little regard to whether these are the correct models for a particular task. See the package vignettes for a more thorough explaination and several larger, more practical examples.

Author(s)

Taylor B. Arnold [e-mail],

Maintainer: Taylor B. Arnold [e-mail]

kerasR documentation built on Aug. 17, 2022, 5:06 p.m.