Deep Neural Network Training with iPSO Algorithm

Küçük Resim Yok

Tarih

2018

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Deep learning-based methods are frequently preferred in many areas in recent years. Another issue, which is as important as deep neural networks applications, is the training of deep neural networks. Although many techniques are proposed in the literature for the training of deep nets, most of these techniques use gradient descent based approaches. In this study, differently from the conventional gradient method, Improved Particle Swam Optimisation (IPSO) algorithm is used for the training of deep neural networks. LeNet-5 network is preferred as network structure and MNIST is utilized as data set. Depending on the number of particles, a performance of up to 96.29% was achieved. In the cases after 20 particles, the average performance was over 90%.

Açıklama

26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY

Anahtar Kelimeler

deep learing, deep nets, lenet-5, ipso, deep networks training

Kaynak

2018 26th Signal Processing and Communications Applications Conference (Siu)

WoS Q Değeri

N/A

Scopus Q Değeri

Cilt

Sayı

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