Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TorchPRISM: Principal Image Sections Mapping, a novel method for
  Convolutional Neural Network features visualization   In this paper we introduce a tool called Principal Image Sections Mapping -
PRISM, dedicated for PyTorch, but can be easily ported to other deep learning
frameworks. Presented software relies on Principal Component Analysis to
visualize the most significant features recognized by a given Convolutional
Neural Network. Moreover, it allows to display comparative set features between
images processed in the same batch, therefore PRISM can be a method well
synerging with technique Explanation by Example.

28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph