# Questions tagged [convolution-arithmetic]

For questions related to the arithmetic of convolution operations (1d, 2d, 3d convolutions, transposed, etc.) in the context of convolutional neural networks.

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### 2D convolution with channels versus 3D convolution for layers of a map?

Introduction I am considering to use a convolutional neural network in implementing Monte Carlo control with function approximation. I am using a Monte Carlo estimate as it is unbiased and has nice ...
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### How do you pass from the 192 depth in the first tensor to the 256 in the second tensor?

I thought 112x112x192 depth tensor convoluted with 3x3x192 would give 56x56x(192x192) But this is different. How do you pass from the 192 depth in the first tensor to the 256 in the second tensor?
291 views

### Are the output dimensions of the first and second convolutional layer in YOLO paper correct?

I was reading the last version of the YOLO paper available in Arxiv, and I don't fully understand the output dimensions (I understand width and height, but not depth) of the first and second ...
673 views

### Why do we add 1 in the formula to calculate the shape of the output of the convolution?

In the formula to calculate output shape of tensor after convolution operation $$W_2 = (W_1-F+2P)/S + 1,$$ where: $W_2$ is the output shape of the tensor $W_1$ is the input shape $F$ is the filter ...
10k views

### How to calculate the number of parameters of a convolutional layer?

I was recently asked at an interview to calculate the number of parameters for a convolutional layer. I am deeply ashamed to admit I didn't know how to do that, even though I've been working and using ...
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### How is the depth of the filters of convolutional layers determined? [duplicate]

I am a bit confused about the depth of the convolutional filters in a CNN. At layer 1, there are usually about 40 3x3x3 filters. Each of these filters outputs a 2d array, so the total output of the ...
5k views

### How to compute the number of weights of a CNN?

How can we theoretically compute the number of weights considering a convolutional neural network that is used to classify images into two classes: INPUT: 100x100 gray-scale images. LAYER 1: ...
4k views

### Does each filter in each convolution layer create a new image? [duplicate]

Say I have a CNN with this structure: input = 1 image (say, 30x30 RGB pixels) first convolution layer = 10 5x5 convolution filters second convolution layer = 5 3x3 convolution filters one dense layer ...
99 views

### Neural Nets: CNN confirming layer/filter arithmetic [duplicate]

I was hoping someone could just confirm some intuition about how convolutions work in convolutional neural networks. I have seen all of the tutorials on applying convolutional filters on an image, but ...
150 views