All Questions
5 questions
1
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0
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61
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Padding in Convolution Formula
Why is it that the formula for each element in a convolution between an image $I$ and a $k \times k$ sized kernel $K$ is
$$ (I*K)_{ij}=\sum_{m=0}^{k-1}\sum_{n=0}^{k-1}I_{(i-m),(j-n)}K_{mn}=\sum_{m=0}^{...
2
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0
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54
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Help required in understanding how the error of a convolutional layer is calculated when filter and delta of next layer have differing dimensions
I am trying to implement a CNN in NumPy so as to better understand its inner workings
My architecture is as follows
10 images with 1 channel and with 28-pixel rows and columns (Dimension : (...
- 121
1
vote
1
answer
736
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How CNN applies backpropagation to update its weights and biases?
I understand that the 3 main layers for CNN are convolutional layer, ReLU layer and pooling layer.
However, I do not understand how CNN updates its weights and biases using backpropagation.
I ...
- 101
0
votes
0
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356
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Forward and backward pass in Conv2D transpose Layer
I’ve several questions regarding the transposed convolution 2d layer. I’ve not been able to find a proper resource explaining the forward and backward pass. What I know (but not for sure) is, that ...
- 101
2
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0
answers
170
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SGD learning gets stuck when using a max pooling layer (but it works fine with just conv + fc)
I'm working on a CNN library for a university project and I'm having some trouble implementing the backpropagation through the max pooling layer.
Please note that the whole thing was built from ...
- 121