What will be the output size, if the input to convolution layer of neural network is an image of size 128X128X3 and 40 filters of size 5X5 are applied to it?

**Answer**

you can use this formula `[(W−K+2P)/S]+1`

.

- W is the input volume – in your case 128
- K is the Kernel size – in your case 5
- P is the padding – in your case 0 i believe
- S is the stride – which you have not provided.

So, we input into the formula:

```
Output_Shape = (128-5+0)/1+1
Output_Shape = (124,124,40)
```

NOTE: Stride defaults to 1 if not provided and the `40`

in `(124, 124, 40)`

is the number of filters provided by the user.

**Attribution***Source : Link , Question Author : Monk247uk , Answer Author : The BrownBatman*