Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Locally Linear Attributes of ReLU Neural Networks   A ReLU neural network determines/is a continuous piecewise linear map from an
input space to an output space. The weights in the neural network determine a
decomposition of the input space into convex polytopes and on each of these
polytopes the network can be described by a single affine mapping. The
structure of the decomposition, together with the affine map attached to each
polytope, can be analyzed to investigate the behavior of the associated neural
network.

22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an