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In the experiment of VGG16 on CIFAR100, I set the l=4, init_threshold=4, seed=42, the acc of SNN at T=2 is 0.0100 and the acc of SNN at T=64 is 0.7534(0.7705 in the paper).
In the experiment of ResN…
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## タイトル: ハイブリッド段階的蒸留スパイキングニューラルネットワークを用いた低遅延イベントベース視覚認識に向けて
## リンク: https://arxiv.org/abs/2409.12507
## 概要:
スパイクニューラルネットワーク(SNN)は、その低消費電力と高い生物学的解釈可能性から大きな注目を集めています。豊富な時空間情報処理能力とイベント駆動型という性質から、ニューロ…
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if i just run the snn.py without a pretrained ann model，Does this mean that the network will learn according to spike-based bp, that is, the network becomes a pure snn at this time
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Hello.
I trained ann model for CIFAR10 by using ann.py.
After that, I run snn.py to train SNN by STDB.
Converting CNN to SNN works fine.
However, accuracy continues to decrease as epoch con…
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Backport:
- [x] Retractable
- [ ] Pubsub
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您好，我最近打算学习深度学习和SNN，我想请问一下将ANN转成SNN是否存在一些限制条件，比如有些结构能转成SNN有些无法转成SNN？像LSTM、CNN、ResNet、Transformer这些经典的网络都可以转成SNN吗？
初学者对这块还不太理解，仓促打扰，盼望回复~
祝您学业/工作顺利！
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I'm running WNN following the tutorial on a dataset of about 200,000 skin cells. I noticed that choice of number of ADT PCs has a huge impact on the UMAP -- the UMAP clearly looks better with more ADT…
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相同的parser在train.py文件夹下可以正常运行，但在ann_to_snn.py下报错。
我的数据集图像大小为800*800，修改下列parser为：
parser.add_argument('--img-size', nargs='+', type=int, default=[800, 800], help='[min_train, max-train, test]')
会报错V…
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Traceback (most recent call last):
File "/content/Attention-SNN/MA_SNN/DVSGestures/Att_SNN_CNN.py", line 45, in
main()
File "/content/Attention-SNN/MA_SNN/DVSGestures/Att_SNN_CNN.py", line…
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# **Read before creating a new issue**
- Users who want to use SpikingJelly should first be familiar with the usage of PyTorch.
- If you do not know much about PyTorch, we recommend that the user…