Presentation Open Access

PyTorchPipe: tutorial

Tomasz Kornuta


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  <dc:creator>Tomasz Kornuta</dc:creator>
  <dc:date>2019-07-06</dc:date>
  <dc:description>The presentation introduces PyTorchPipe: a framework for rapid prototyping and training of computational pipelines combining language and vision.</dc:description>
  <dc:identifier>https://zenodo.org/record/3269928</dc:identifier>
  <dc:identifier>10.5281/zenodo.3269928</dc:identifier>
  <dc:identifier>oai:zenodo.org:3269928</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.3269927</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>PyTorchPipe</dc:subject>
  <dc:subject>PTP</dc:subject>
  <dc:subject>PyTorch</dc:subject>
  <dc:subject>IBM Research</dc:subject>
  <dc:subject>Neural Networks</dc:subject>
  <dc:subject>Deep Learning</dc:subject>
  <dc:subject>Component</dc:subject>
  <dc:subject>Pipeline</dc:subject>
  <dc:subject>Model</dc:subject>
  <dc:subject>Multi-modal Reasoning</dc:subject>
  <dc:title>PyTorchPipe: tutorial</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>presentation</dc:type>
</oai_dc:dc>
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