Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for
  Neural Networks   We present a generalization bound for feedforward neural networks in terms of
the product of the spectral norm of the layers and the Frobenius norm of the
weights. The generalization bound is derived using a PAC-Bayes analysis.

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The categories of this paper are: plasm-ph
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg