User guide

• Akida user guide
  • Overview
  • Programming interface
    • The Akida Model
    • Akida layers
      • Akida 1.0 layers
      • Akida 2.0 layers
  • Model Hardware Mapping
    • Devices
      • Discovering Hardware Devices
      • Virtual Devices
    • Model mapping
    • Advanced Mapping Details and Hardware Devices Usage
    • Performance measurement
    • Command-line interface for model evaluation
  • Using Akida Edge learning
    • Learning constraints
    • Compiling a layer
• QuantizeML toolkit
  • Overview
  • The FixedPoint representation
  • Quantization flow
    • Compatibility constraints
    • Model loading
  • Command line interface
    • quantize CLI
    • config CLI
    • check CLI
    • insert_rescaling CLI
  • Supported layer types
    • Keras support
    • ONNX support
  • Analysis module
    • Kernel distribution
    • Quantization error
    • Metrics
    • Command line
      • Kernel distribution from command-line
      • Quantization error from command-line
• CNN2SNN toolkit
  • Overview
  • Conversion flow
    • Conversion compatibility
    • Command-line interface
      • Deprecated CLI actions
  • Handling Akida 1.0 and Akida 2.0 specificities
  • Legacy quantization API
    • Typical quantization scenario
    • Design compatibility constraints
    • Command-line interface
    • Layers Considerations
      • Supported layer types
      • CNN2SNN Quantization Aware layers
      • Training-Only Layers
      • First Layers
        • Input Scaling
      • Final Layers
    • Tips and Tricks
• Akida models zoo
  • Overview
  • Command-line interface for model creation
  • Command-line interface for model training
    • KWS training
    • AkidaNet training
  • Command-line interface for model evaluation
  • Command-line interface to evaluate model MACS
  • Command-line interface to display summary
  • Layer Blocks
  • Handling Akida 1.0 and Akida 2.0 specificities
• Akida Engine
  • Overview
  • Engine directory structure
  • Engine API overview
    • HardwareDriver
    • HardwareDevice
    • Dense
    • Shape
    • HwVersion
    • Sparse and Input conversion functions
    • Other headers in the API