Lava
  • Lava Architecture
    • Key attributes
    • Why do we need Lava?
    • Lava’s foundational concepts
      • 1. Processes:
      • 2. Behavioral implementations via ProcessModels:
      • 3. Composability and connectivity:
      • 4. Cross-platform execution:
    • Lava software stack
  • Getting Started With Lava
    • Application examples:
    • Fundamental concepts:
  • Algorithms and Application Libraries
    • Deep Learning
      • Introduction
      • Lava-DL Workflow
      • Getting Started
      • SLAYER 2.0
        • Example Code
      • Bootstrap
        • Example Code
      • Network Exchange (NetX) Library
        • Example Code
      • Detailed Description
        • Lava-DL SLAYER
        • Lava-DL Bootstrap
        • Lava-DL NetX
    • Dynamic Neural Fields
      • Introduction
      • What is lava-dnf?
      • Key features
      • Example
    • Neuromorphic Constraint Optimization
      • Tutorials
        • QP Solver
      • Example
        • QP Solver
        • Coming up next: CSPSolver
      • Requirements
      • Setup
  • Developer Guide
    • Lava’s Origins
    • Contact Information
    • Table of Contents
    • Development Roadmap
      • Initial Release
    • How to contribute to Lava
      • Open an Issue
      • Pull Request Checklist
      • Open a Pull Request
    • Coding Conventions
      • Code Requirements
      • Guidelines
      • Docstring Format
    • Contributors
      • Contributor
      • Committer
        • List of lava-nc/lava Project Committers
        • List of lava-nc/lava-dnf Project Committers
        • List of lava-nc/lava-optimization Project Committers
        • List of lava-nc/lava-dl Project Committers
        • Committer Promotion
    • Repository Structure
      • lava-nc/lava
      • lava-nc/lava-dnf
      • lava-nc/lava-dl
      • lava-nc/lava-optimization
      • lava-nc/lava-docs
    • Code of Conduct
    • Licenses
  • Lava API Documentation
    • Lava
    • Lava - Deep Learning
      • SLAYER
        • Neuron
        • Synapse
        • Spike
        • Axon
        • Dendrite
        • Blocks
        • Loss
        • Classifier
        • Input/Output
        • Auto
        • Utilities
      • Indices and tables
      • Bootstrap (ANN-SNN training)
        • Blocks
        • ANN Statistics Sampler
        • Routine
      • Indices and tables
      • Lava-DL NetX
        • Blocks
        • HDF5
        • Utils
      • Indices and tables
    • Lava - Dynamic Neural Fields
    • Lava - Optimization
Lava
  • »
  • Lava API Documentation »
  • Lava - Deep Learning »
  • Lava-DL NetX »
  • Blocks
  • View page source

Blocks

  • Blocks Module
    • Process
    • Models
    • Module contents
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