For questions related to the concept of a feature map in the context of convolutional neural networks.
Questions tagged [feature-maps]
8 questions
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What is the difference between a receptive field and a feature map?
In a CNN, the receptive field is the portion of the image used to compute the filter's output. But one filter's output (which is also called a "feature map") is the next filter's input.
What's the difference between a receptive field and a feature…
Monica Heddneck
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CNNs: What happens from one neuron volume to the next?
I've gone through several descriptions of CNNs online and they all leave out a crucial part as if it were trivial.
A "volume" of neurons consists of several parallel layers ("feature maps"), each the result of convolving with a different…
MackTuesday
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4
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How is the depth of a convolutional layer determined?
I am looking at a diagram of ZFNet below, in an attempt to understand how CNNs are designed.
In the first layer, I understand the depth of 3 (224x224x3) is the number of color channels in the image.
In the second layer, I understand the $110 \times…
OnNIX
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What are the recommended ways to change shape of feature maps channel wise other than using Convolutional neural networks?
Suppose I have a feature map with size $C_1 \times H \times W$. And I need to convert it into a feature map of size $C_2 \times H \times W$.
One way to do this is to use convolutional neural networks as Conv2d($C_1, C_2$)
I want to know whether…
hanugm
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How is the depth of the filters of convolutional layers determined?
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 first layer is 40 2d arrays.
Does the next…
FourierFlux
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Why CNN filters (kernels) are randomly initialized?
I learned that when CNN filters are defined, they are initialized with random weights and bias(Im not sure about bias).
Then as learning step goes on, the weight values change and each filter makes its own feature map.
What I don't understand is…
COTHE
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How do we combine feature maps? CNN
In Convolutional Neural Networks we extract and create abstractified “feature maps” of our given image. My thought was this: We extract things like lines initially. Then from different types of lines we are meant to extract higher order features.…
0
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combine two features in dataset?
I have a data set containing the number of security gaps and the level of that gap for a specific website.
Now suppose I have 2 features in this data set, the first feature is the number of a specific security gap and the second feature is the risk…
Issa Mansour
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