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TarrySingh avatar TarrySingh commented on July 18, 2024

Hi — could you respond to the CapsLayer repo as we’ll be developing the library there :)

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phongnhhn92 avatar phongnhhn92 commented on July 18, 2024

U mean I should post this question in that repo ?

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toddlt avatar toddlt commented on July 18, 2024

@phongnhhn92 I think that input of conv1 layer is MNIST image, its size is 28*28, so the output is (28-9+0*2)/1+1=20, and there are 256 neurons, so output of conv1 is (batchsize,20,20,256). The conv2 layer you said is PrimaryCaps? The vec_len of capsule is 8, so there are 8 conv layers stacked in PrimaryCaps. The output here is (20-9+2*p)/2+1=6, there are 32 neurons, each neuron calculates 8 conv, concat them will get (batchsize,6,6,32*8)

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