Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How You See Me   Convolution Neural Networks is one of the most powerful tools in the present
era of science. There has been a lot of research done to improve their
performance and robustness while their internal working was left unexplored to
much extent. They are often defined as black boxes that can map non-linear data
very effectively. This paper tries to show how CNN has learned to look at an
image. The proposed algorithm exploits the basic math of CNN to backtrack the
important pixels it is considering to predict. This is a simple algorithm which
does not involve any training of its own over a pre-trained CNN which can
classify.

9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc