CRAN

deepnet 0.2

deep learning toolkit in R

Released Mar 20, 2014 by Xiao Rong

Implement some deep learning architectures and neural network algorithms, including BP,RBM,DBN,Deep autoencoder and so on.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>deepnet</artifactId>
    <version>0.2-b246</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:deepnet')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

• dbn.dnn.train-examples
• nn.predict-examples
• nn.test-examples
• nn.train-examples
• rbm.down-examples
• rbm.train-examples
• rbm.up-examples
• sae.dnn.train-examples

Source

View GitHub Mirror

Release History

• 0.2