Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DARVIZ: Deep Abstract Representation, Visualization, and Verification of
  Deep Learning Models   Traditional software engineering programming paradigms are mostly object or
procedure oriented, driven by deterministic algorithms. With the advent of deep
learning and cognitive sciences there is an emerging trend for data-driven
programming, creating a shift in the programming paradigm among the software
engineering communities. Visualizing and interpreting the execution of a
current large scale data-driven software development is challenging. Further,
for deep learning development there are many libraries in multiple programming
languages such as TensorFlow (Python), CAFFE (C++), Theano (Python), Torch
(Lua), and Deeplearning4j (Java), driving a huge need for interoperability
across libraries.

26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph