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pronobis2017icml-padl.pdf
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🔗 Source: pronobis.pro
📊 Size: 1.04 MB
👤 Author: Andrzej Pronobis, Avinash Ranganath, Rajesh P. N. Rao
⬇️ Downloads: 366

Summary

LibSPN is a Python library for learning and inference with Sum-Product Networks (SPNs) and TensorFlow, aiming to become a platform for the machine learning community centered around SPNs. SPNs are a probabilistic deep architecture with solid theoretical foundations, demonstrating state-of-the-art performance in several domains. LibSPN is designed to make it straightforward to apply various SPN architectures to large-scale datasets and problems, achieving scalability and efficiency through tight coupling with TensorFlow. The library offers a clean, object-oriented interface, powerful customization, and a rich set of features, with additional features being actively developed. LibSPN is applied to real-world problems, including spatial understanding in mobile robotics, and is compared to other existing software packages related to SPNs, offering a cleaner and more extensible interface, and a broader set of network architectures and inferences.

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Description

LibSPN is a Python library for learning and inference with Sum-Product Networks (SPNs) and TensorFlow, aiming to become a platform for the machine learning...

Technical Information

  • File Format: PDF
  • File Size: 1.04 MB
  • Pages: 9
  • Language: EN
  • Author: Andrzej Pronobis, Avinash Ranganath, Rajesh P. N. Rao
  • Total Downloads: 366
  • Last Updated: 2 hours ago

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