Deep Convolutional Neural Networks (AlexNet)

http://d2l.ai/chapter_convolutional-modern/alexnet.html

how do I apply my own data to this neural network?

Here are examples:

http://d2l.ai/chapter_computer-vision/kaggle-cifar10.html

http://d2l.ai/chapter_computer-vision/kaggle-dog.html

Hi, By applying the formula to calculate the output in 6.3, If we use as input a 224x224 image, after passing through the first conv layer, the output should be of the form 54.5x54.5, if I am not mistaken. However, in the model summary, the output after the first conv is just 54. What does the model do with the 0.5 spared pixel? does it just discard it? is it something the model do automatically?

Thank you for your answer

Hi @le_Minh_Nguyen, great question!

As discussed in 6.3.2, the output value will be the floor value of (𝑛−𝑘+𝑝+𝑠)/𝑠

Hello. I wrote and own this code. I was not given proper credit and it was stolen from me by someone, but someone just reposted it. My email is alexanderlockaby@gmail.com.

I also own the YouTube,

This is well known and advertised on TV.

Please get in touch with me so I can have my code back.

It is basically proprietary.

Please help.

Thank you