英文:
Convolution Neural Network and Receptive field
问题
以下是翻译好的部分：
"Suppose a 3x3 convolution kernel is used in the first layer, a 2x2 convolution kernel is used in the second layer and a 4x4 convolution kernel is used in the third layer. What is the receptive field of the element of the output of the third layer?
is there a general equation to solve the above problem? im relatively new to CNN so any help is appreciated
thanks in advance!
i did read the dive into deep learining book but could understand anything"
请注意，代码部分不需要翻译。
英文:
could someone please explain how to do the below question
Suppose a 3x3 convolution kernel is used in the first layer, a 2x2 convolution kernel is used in
the second layer and a 4x4 convolution kernel is used in the third layer. What is the receptive field of
the element of the output of the third layer?
is there a general equation to solve the above problem? im relatively new to CNN so any help is appreciated
thanks in advance!
i did read the dive into deep learining book but could understand anything
答案1
得分: 0
"From: https://theaisummer.com/receptive-field/
> For two sequential convolutional layers 2,1 f2,f1 with kernel size k,
> stride s, receptive field r:
>
> r1=s2×r2+(k2−s2)"
"虽然我不知道这对你有多大用处... 将感受野想象成用自己的眼睛看过吸管... 一个非常窄的吸管会限制你的“感受野”，使你更难以真正分辨你正在看什么或看到了什么。"
英文:
From: https://theaisummer.com/receptive-field/
> For two sequential convolutional layers 2,1 f2,f1 with kernel size k,
> stride s, receptive field r:
>
> r1=s2×r2+(k2−s2)
Although, I don't know how useful that really is for you... Think of receptive field like looking through a straw with your own eyes... A really narrow straw will limit your "receptive field" making it more difficult to actually discern what you are looking at or seeing
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