在AlexNet神经元的数量 [英] the number of neurons in AlexNet

问题描述

在 AlexNet 中，图片数据 3 * 224 * 224 。

第一个卷积层使用96个大小 11 *

我怀疑第一层的输出神经元计数。

在我看来，输入是 224 * 224 * 3 = 150528 ，那么输出应该是 55 * 55 * 96 = 290400

但在本文中，他们描述的输出是 253440

我不知道如何计算这层神经元的数量。

我还认为这是作者的一个错误，我在 http://vision.stanford.edu/teaching/cs231b_spring1415/slides/alexnet_tugce_kyunghee.pdf =nofollow> stanford cs231n的课件，在第10和第11页，你可以发现输出第一个转换的大小为290400。

In AlexNet,the image data is 3*224*224.

The first convolutional layer filters the image with 96 kernels of size 11*11*3 with a stride of 4 piexels.

I have doubt with the first layer's output neurons count.

In my opinion,the input is 224*224*3=150528,then the output should be 55*55*96=290400

But in the paper,they described the output is 253440

I don't know how to calculate the number of this layer's neurons.

Is there someone could help me?Thank you!

解决方案

I also believe this is a mistake by the author, I found a proof in the courseware of stanford cs231n, in the 10th and 11th page, you can find that the output size of the first conv is 290400.

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