Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Over Long Time Lags   The advantage of recurrent neural networks (RNNs) in learning dependencies
between time-series data has distinguished RNNs from other deep learning
models. Recently, many advances are proposed in this emerging field. However,
there is a lack of comprehensive review on memory models in RNNs in the
literature. This paper provides a fundamental review on RNNs and long short
term memory (LSTM) model. Then, provides a surveys of recent advances in
different memory enhancements and learning techniques for capturing long term
dependencies in RNNs.

7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
3
The categories of this paper are: physics