Data Science Asked by Jogging Song on May 22, 2021
In the paper ImageNet Classification with Deep Convolutional Neural Networks, the size of input image is 224×224. The following figure shows the input size.
From caffe, deploy.prototxt file from the directory of the bvlc_alexnet says that the input size is 227×227.
Why is the input size different?
I guess it has been a mistake. Take a look at here.
The other author's were Ilya Sutskever and Geoffrey Hinton. So, AlexNet input starts with 227 by 227 by 3 images. And if you read the paper, the paper refers to 224 by 224 by 3 images. But if you look at the numbers, I think that the numbers make sense only of actually 227 by 227.
Correct answer by Media on May 22, 2021
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