Hi,
I have input of dimension 32 x 100 x 1 where 32 is the batch size.
I wanted to convolved over 100 x 1 array in the input for each of the 32 such arrays i.e. a single data point in the batch has an array like that.
I hoped that conv1d(100, 100, 1) layer will work.
How does this convolves over the array ? How many filters are created? Does this convolve over 100 x 1 dimensional array? or is a filter created for each of the 100 dimensions?
There are so many terminologies I found searching for this function Filter, Length, Channel_in Channel out.
Any help in explaining what the above layer does to the above output will be of great help.
Cheers!