👁️ CNN Convolution Kernel Studio

Select a $3 \times 3$ image feature filter to observe mathematical spatial convolution ($S(i,j) = (I * K)(i,j)$) and max pooling transformation.

⚙️ Select $3 \times 3$ Filter Matrix

Active Matrix Weights:

[ -1, 0, +1 ]
[ -2, 0, +2 ]
[ -1, 0, +1 ]

🖼️ Feature Map Pipeline Output

Input Image ($28 \times 28$)
* Filter $\to$
Feature Map ($26 \times 26$)
Published Tutorials

AI & Data Science Guides by Nagendra Rana

Hackthebox omni Writeup

Hackthebox Omni Writeup

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