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Hello,
I’m currently working on training a spiking neural network (SNN) for the CIFAR-10 dataset using the Slayer framework. My approach involves a convolutional neural network (CNN) architecture paired with Current-Based Leaky Integrate and Fire (CUBA) neurons. However, I’ve encountered an issue during training.
TypeError: unsupported operand type(s) for +: 'NoneType' and 'float'
Interestingly, when I switched the architecture to a fully connected network everything worked perfectly fine.
Has anyone else experienced a similar issue or could offer some insights on what might be going wrong? Any help or suggestions would be greatly appreciated!
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Hello,
I’m currently working on training a spiking neural network (SNN) for the CIFAR-10 dataset using the Slayer framework. My approach involves a convolutional neural network (CNN) architecture paired with Current-Based Leaky Integrate and Fire (CUBA) neurons. However, I’ve encountered an issue during training.
TypeError: unsupported operand type(s) for +: 'NoneType' and 'float'
Interestingly, when I switched the architecture to a fully connected network everything worked perfectly fine.
Has anyone else experienced a similar issue or could offer some insights on what might be going wrong? Any help or suggestions would be greatly appreciated!
Thanks
Rashed
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