NengoDL

• Introduction
  • Installation
• Installation
  • Requirements
  • Installing NengoDL
  • Developer installation
  • Installing TensorFlow
• User documentation
  • NengoDL Simulator
    • Simulator arguments
    • Simulator.run arguments
    • API
  • TensorNodes
    • Examples
    • API
  • Optimizing a NengoDL model
    • Simulator.train arguments
    • Choosing which elements to optimize
    • Examples
  • Extra Nengo objects
    • Neuron types
    • Distributions
• Examples
  • Optimizing the parameters of a Nengo model
  • Inserting a TensorFlow network into a Nengo model
  • Optimizing spiking neural networks
  • Optimizing a structured semantic pointer model
    • 1. Generate random semantic pointers
    • 2. Define the model
    • 3. Test baseline retrieval accuracy
    • 4. Optimize the model parameters
    • 5. Test improved retrieval accuracy
  • Optimizing a structured semantic pointer model with temporal dynamics
    • 1. Generate random semantic pointers
    • 2. Define the model
    • 3. Train the model
    • 4. Introduce input binding and retrieval cues
    • 5. Test baseline retrieval accuracy
    • 6. Train the new model
    • 7. Test improved retrieval accuracy
• Additional resources
• Developer documentation
  • Builder
  • Operator build classes
    • Basic operators
    • Neuron types
    • Learning rules
    • Processes
  • TensorFlow graph construction
  • Signals
  • Operator graph optimization tools
  • Miscellaneous utilities
• Project information
  • Release History
    • 0.5.2 (October 11, 2017)
    • 0.5.1 (August 28, 2017)
    • 0.5.0 (July 11, 2017)
    • 0.4.0 (June 8, 2017)
    • 0.3.1 (May 12, 2017)
    • 0.3.0 (April 25, 2017)
    • 0.2.0 (March 13, 2017)
    • 0.1.0 (June 12, 2016)
  • Contributing to NengoDL
    • Filing issues
    • Making pull requests
    • Contributor agreement
  • NengoDL license
    • Licensed code

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