Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image Classification Algorithm for Determining the Light Curve
  Morphologies of ASAS-SN Eclipsing Binaries   We present a classification of the light curve morphologies of eclipsing
binary systems observed by ASAS-SN based on their light curve images. The data
of 16500 eclipsing systems having three different classes (detached Algol type,
$\beta$ Lyr type, and W UMa type) are collected to construct their light
curves. A deep learning algorithm containing the convolutional neural networks
is employed on the images to achieve a satisfying classification. A code called
ASEBCLASS is written in Python language, and it uses the TensorFlow platform
through Keras API to employ the mathematical libraries in the training phase of
the model. The architecture consists of four groups of convolutional,
activation, maximum pooling layers together with the additional fully connected
layers. The results show that our algorithm estimates the morphological class
of an external input image data with an accuracy value of 92%.

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The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
1
The categories of this paper are: cs
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
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The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph