Hello,
This is the first time I’m trying to implement a NN which is described in a paper. So far I just did my own thing by trial and error. I don’t fully understand how I should read the table found here: https://i.imgur.com/FCFb216.png 1
Note that the table only contains the first few layers.
Now I want to use torch.nn.Conv1d(in_channels, out_channels, kernel_size,...) for that but I have no idea how to read the table in the image. It is clear that it is a sequential NN but what exactly is meant by size? It says the size of the 2nd layer (conv1d) is 32x40945 and the size of the 3th layer (pooling) is 32x10236. What is now in_channels, out_channels and kernel_size for the 2nd layer exactly? Note that in and out channels are integers.
Thanks