NanoNet
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Fix bug in residual_block
Hello sir,
In your paper, it is reported that the NanoNet-C has parameters of 36K
. Yet, when I try to replicate the model in PyTorch, available online on my repository, the number of parameters doesn't match up. Instead, it has 43K
parameters. After carefully reading your code, I found an error in the residual_block
function. However, I have fixed the error summarized in this pull request. Thank you.