<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>A Neural Networks Framework</dc:title>
  <dc:title>R package deep version 0.1.0</dc:title>
  <dc:description>Explore neural networks in a layer oriented way, the framework
    is intended to give the user total control of the
    internals of a net without much effort. Use classes like PerceptronLayer
    to create a layer of Percetron neurons, and specify how many you want. The
    package does all the tricky stuff internally leaving you focused in what
    you want. I wrote this package during a neural networks course to help me
    with the problem set.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: methods</dc:relation>
  <dc:creator>Brian &lt;bleemayer@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Brian Lee Mayer</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2019-12-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=deep</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.deep</dc:identifier>
</oai_dc:dc>
