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Hi, I tried to reproduce the experiments on **CIFAR10** with **VGG16**.
I used the following python commands to train the models:
```
CUDA_VISIBLE_DEVICES=[gpu id] nohup python main.py train --bs=1…
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Thanks for such a nice library of FORCE learning! This is very helpful!
I think currently tension only supports the learning of readout weights for spiking neural networks. I was wondering if there…
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ssh://u21b961009@10.251.171.6:23735/opt/conda/envs/py37/bin/python -u /home/u21b961009/jupyterlab/Spikingformer-master/imagenet/train.py
INFO:train:Training with a single process on 1 GPUs.
Training…
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Hi, with the same settings (all the hyperparameters) I still can't reproduce the result as reported in the paper.
In the exp on VGG on CIFAR10, when I set the l=4, the best acc of ann can't reach the…
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https://mp.weixin.qq.com/s/-Y9q6xC9LE1rlWU1xJ3ZEw
ixxmu updated
12 months ago
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I encountered the following problem while training the 3D point cloud model:
```bash
[2023-07-20 08:48:30,841][torch_points3d.datasets.base_dataset][INFO] - Available stage selection datasets: ['…
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For my team's internal training pipeline I've derived a dataset based on the GEN1DetectionDataset code. When I load the data with the same hyperparameters (tbin, T, sample_size etc.) I've noticed that…
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Hi, I tried PSN ResNet-20 on cifar10 with t=8. Pytorch official implementation but with ReLU substituted into PSN. 200 epochs. Cosine scheduler. But, the classification result is ~85%. Is it normal? …
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* snntorch version:0.4.10
* Python version:3.7
* Operating System:win11
### Description
I designed a SNN with four convolutional layers, but the loss per epoch (average of 128 minibatch losses…
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### loss
Could you please tell me why loss reach to nan in every epoch?
![image](https://user-images.githubusercontent.com/47053037/236419919-8717f61c-e8f3-4043-b91b-2bea29ed878a.png)