putshua
commented
1 year ago Hello,
A1: Yes, I directly applied the original images to the first layer.
A2: I use pytorch autograd. Also, the derivative functions in the original paper in openreview is incorrect. I have corrected them in a new arxiv version.
Thanks for your attention.
Tong Bu
发件人: MusheerAbdullah 发送时间: 2023年8月24日 12:04 收件人: putshua/SNN_conversion_QCFS 抄送: Subscribed 主题: [putshua/SNN_conversion_QCFS] Input data coding and QCFS derivative (Issue #12)
Hello Sir, Hope you are alright I am just wondering in your code and results shown in your paper, Q1: Do you use encoding mechanism to convert the input images into spikes during SNN evaluation, or you just apply the original images to the first layer T times. Q2: in your paper (equation 17 ) you mentioned the derivative functions for training your QCFS, but I cannot find that in your code, and you apply the autograde, am I right ? and is your mentioned results based on equation 17 or using the autograde derivations waiting for your reply, Thank you ! — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>
MusheerAbdullah
Hello Sir, Hope you are alright I am just wondering about your code and results that is shown in your paper, Q1: Do you use encoding mechanism to convert the input images into spikes during SNN evaluation, or you just apply the original images to the first layer T times ?
Q2: In your paper (equation 17 ), you mentioned the derivative functions for training your QCFS, but I cannot find that in your code, and you apply the autograde, am I right ? if yes, is your mentioned results based on equation 17 or using the autograde derivations ?
waiting for your reply, Thank you !