Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: What's the relationship between CNNs and communication systems?   The interpretability of Convolutional Neural Networks (CNNs) is an important
topic in the field of computer vision. In recent years, works in this field
generally adopt a mature model to reveal the internal mechanism of CNNs,
helping to understand CNNs thoroughly. In this paper, we argue the working
mechanism of CNNs can be revealed through a totally different interpretation,
by comparing the communication systems and CNNs. This paper successfully
obtained the corresponding relationship between the modules of the two, and
verified the rationality of the corresponding relationship with experiments.
Finally, through the analysis of some cutting-edge research on neural networks,
we find the inherent relation between these two tasks can be of help in
explaining these researches reasonably, as well as helping us discover the
correct research direction of neural networks.

18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex