Deep Neural Networks for Czech Multi-label Document Classification
Table 4: F-measure of CNN with different numbers of convolutional kernels
['[BOLD] Kernel no.', '12', '16', '20', '24', '28', '32', '36', '40', '44', '48', '52', '56', '60', '64']
In this experiment, we will show the impact of the number of convolutional kernels in our network on the classification score. 400 words are used for document representation (L=400) and the embedding vector size is 200. All values from interval [20; 64] are suitable for our goal and therefore we chose the value of 40 for further experimentation.