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Beginner’s Guide to Developing
with NuPIC
Scott Purdy
May 3, 2014
Levels of Abstraction
• Algorithms
– Encoders
– Spatial Pooler
– Sequence Memory (Temporal Pooler)
– CLA Classifier (not covered)
• Networks and Regions – supports topology
• Online Prediction Framework (OPF)
– CLAModel (network and algorithm wrapper)
– OpfRunExperiment.py
– run_swarm.py
– experiment.json (not covered)
Interactive work with ipython notebook:
http://nbviewer.ipython.org/url/fer.io/~scott/nu
pic_overview.ipynb
Network and Regions API
• Supports arbitrary topology
• Formalizes serialization (but delegates
implementation to each region)
• Handles data flow through network
Network and Regions API
Classifier
L2 Temporal Pooler
L2 Spatial Pooler
L1 Temporal Pooler
L1 Spatial Pooler
Audio
L1 Temporal Pooler
L1 Spatial Pooler
Image

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Beginner's Guide to NuPIC

  • 1. Beginner’s Guide to Developing with NuPIC Scott Purdy May 3, 2014
  • 2. Levels of Abstraction • Algorithms – Encoders – Spatial Pooler – Sequence Memory (Temporal Pooler) – CLA Classifier (not covered) • Networks and Regions – supports topology • Online Prediction Framework (OPF) – CLAModel (network and algorithm wrapper) – OpfRunExperiment.py – run_swarm.py – experiment.json (not covered)
  • 3. Interactive work with ipython notebook: http://nbviewer.ipython.org/url/fer.io/~scott/nu pic_overview.ipynb
  • 4. Network and Regions API • Supports arbitrary topology • Formalizes serialization (but delegates implementation to each region) • Handles data flow through network
  • 5. Network and Regions API Classifier L2 Temporal Pooler L2 Spatial Pooler L1 Temporal Pooler L1 Spatial Pooler Audio L1 Temporal Pooler L1 Spatial Pooler Image