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0.3.4
  • GETTING STARTED
    • Installation
    • Fundamentals of Sinabs
    • A quick (and over-simplified) introduction to spiking neurons
    • Quickstart Sinabs
    • Python versions, pyenv and pipenv
  • TUTORIALS
    • Training by backpropagation through time (BPTT)
    • Converting an ANN to an SNN
    • sinabs Tutorial 使用入门
    • Number of synaptic operations and how to minimise them
    • Choosing a neuron model
    • Changing activations in spiking layers
  • PLUGINS
  • API REFERENCE
    • network
    • layers
      • IAF
      • LIF
      • ALIF
      • ExpLeak
    • activation
      • spike generation
      • reset mechanisms
      • surrogate gradients
    • from_torch
    • SynOpCounter
  • ABOUT
    • About this project
    • How is Sinabs different?
    • Contributing to sinabs
    • Release notes
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GETTING STARTED

GETTING STARTED#

  • Installation
  • Fundamentals of Sinabs
  • A quick (and over-simplified) introduction to spiking neurons
  • Quickstart Sinabs
  • Python versions, pyenv and pipenv

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