# Neural Network Basics 1

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1753466599829/f76f73d2-9e5d-4dd8-9b79-04e1d54f2b36.png align="center")

Input Size - kitne by kitne pixels ka input image hoga(Jaise isme 7×7 hai)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1753466688322/e5534bd9-d71a-4290-94aa-4cf97b09d591.png align="center")

Padding - Extra squares add hoge outside of the Input Size Square

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1753466764728/666ce5bb-1c4b-45cc-9c62-a5a67733d920.png align="center")

Kernel Size - Kitne pixel ko milaake ek pixel generate hoga(Jaise isme 4×4 se 1 pixel ho rha hai)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1753467025179/12e50a25-bb05-449e-85bb-af5adeab5941.png align="center")

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1753467038003/85b671c2-c3c3-4a22-80eb-db3d734fc80b.png align="center")

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1753467051972/461bb4b9-e11a-4d79-95d9-aef699f15885.png align="center")

Stride - Kitne blocks ko chhodke kernel kitne move me traverse krta hai