what does the 2D in Conv2D mean ?
is it because the input image fed is gray scale ?
Doubt in models
hey @ishabehera ,
It basically tells that what dimensions our convolution will be.
So when we are working on 3D input , we perfrom 2D convolution and hence it Conv2D.
when you will be 4D input , you will be performing 3D convolution on it and hence for that you need to use Conv3D.
I hope this would have helped you understand it .
Thank You. 
.
a 3D input basically meand an RGB image ? so if the input image is grayscale what will we use ?
Conv1D fro grayscale images.
But there is no need to perform convolution on grayscale images , as there is itself not much of the information left which can be extracted from grayscale images.