search

guillaume-chevalier / Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
https://guillaume-chevalier.com/spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp-hebbian-learning/
257 stars 49 forks source link

How can I run your code with my own images data? #5

Open bemoregt opened 4 years ago

bemoregt commented 4 years ago

Hi, @guillaume-chevalier

I made new mnist dataset(using converter) from my own image dataset.

used converter: https://github.com/Arlen0615/Convert-own-data-to-MNIST-format.git

But, your code doesn't work with that my mnist dataset because of new download_mnist function.

How can I run your code with my own images data?

Thanks. Best, @bemoregt.