Closed supermuesli closed 4 years ago
I managed to run CNN with these parameters:
batch_size = 32 ## given in code
output_size = 2
in_channels = 1 ## for text, the in_channels is always 1 while images is 2
out_channels = 100 ## number of filters
vocab_size = len(TEXT.vocab) ## given in code
kernel_heights = [3, 4, 5]
stride = 1
padding = 0
keep_probab = 0.5
embedding_length = 300
word_embeddings = TEXT.vocab.vectors ## given in code
model = CNN(batch_size, output_size, in_channels, out_channels, kernel_heights, stride, padding, keep_probab, vocab_size, embedding_length, word_embeddings)
can you make an example of how to use the cnn model, like you did for lstm? i have trouble understanding the parameters required to get the cnn up and running.
thanks in advance!