Comments (2)
aa-samad
commented on July 16, 2024
Thank you for your attention to this paper and method.
Unfortunately correct, there is no hybrid training method in this version of code. The final version of code will be uploaded after journal publication of our paper.
In the meantime the implementation of hybrid method is pretty straight forward, email the first author, he will guide you through it or will send you the final version of code.
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zhangyu199802
commented on July 16, 2024
@aa-samad Thank you, I have sent you an email last Friday, please check, I really need your help
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Related Issues (15)
- implementation errors HOT 2
- RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. HOT 4
- NameError: name 'lr_scheduler' is not defined HOT 1
- about seq5 in synthetic dataset HOT 3
- Thanks for sharing the code of this paper. I am still wondering if current code is the latest for the paper?
- @meltingCat from torch.optim import lr_scheduler
- It looks like the latest code hasn't been uploaded yet
- file path for record_info HOT 1
- c1_mem and c1_spike and output HOT 2
- Residual and downsample HOT 1
- First convolution is on input instead of synapse output HOT 2
- Typos in code HOT 1
- Parameter or weight for high accuracy HOT 1
- NMNIST
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