3D Convolution Output Shape Calculator for Neural Networks

Use the calculator to instantly predict the shape of a 3-D convolution or pooling layer. Enter input size, filter size, stride, padding and (optionally) pooling values—the tool returns the new depth × height × width × channels. A 3-D kernel trimmed video classification error by 16 % versus 2-D kernels (Tran et al., 2015).








