New Preprint on Quantization-Aware Training with SNNs
- jasoneshraghian
- Feb 18, 2022
- 1 min read
Updated: Feb 18, 2022
We have a new preprint along with code that simplifies the process of training quantized spiking neural networks in snnTorch.
We propose several techniques to smooth the process of training QSNNs, one of which is the use of cosine annealing and periodic boosting, which provides the network additional opportunities to continue searching for more optimized solution spaces.
Preprint: https://arxiv.org/abs/2202.07221
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