Examples

Complete, runnable applications, organized into two tracks: general deep learning and brain dynamics.

• Deep learning
  • Image classification with CNNs
  • Variational autoencoder (VAE) on MNIST
  • Training recurrent neural networks: integrator task
• Brain dynamics
  • Hodgkin-Huxley neuron model
  • Simulating spiking neural networks
  • Simulation of spiking neural network models
  • Training spiking neural networks