Input/output Convolution
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![Convolution Neural Network Architecture [28] Each x (image) input has a ...](https://www.researchgate.net/profile/Sunil-Kumar-388/publication/350936249/figure/fig2/AS:11431281089939557@1665780554730/Convolution-Neural-Network-Architecture-28-Each-x-image-input-has-a-224-height-224_Q640.jpg)








































![[Convolutional Neural Networks] week1. Foundations of Convolutional ...](https://x-wei.github.io/images/Ng_DLMooc_c4wk1/pasted_image006.png)











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