Hello guys,
I want to use conv3d over a spatial matrix of words. Each cell represents an embedding vector of size 100. Hence, an input is of shape - [batch size, height , width, embedding_dim].
1 - Should I use in_channels = embedding_dim  ?
2 - I want to get output of size - [batch_size, height, width, output_size], where output_size is any desired int. I wish to get feature of output_size after convolution for each cell to get the spatial feature for a word (cell).
How would I use conv3d in this case? Please suggest the correct usage and if I am thinking correctly.
Thanks