A comparative study between convolution neural networks and multi-layer perceptron networks for hand-written digits recognition
This paper presents an investigation that aims at comparing deep learning (DL) and traditional artificial neural networks (ANNs) in the application of hand-written digits recognition (HDR). In our study, convolution neural networks (CNNs) are a representative model for the DL models and the multi-la...
محفوظ في:
| المؤلف الرئيسي: | Rababaah, Aaron (author) |
|---|---|
| منشور في: |
2023
|
| الوصول للمادة أونلاين: | http://hdl.handle.net/11675/10928 https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijcvr http://www.scopus.com/inward/record.url?scp=85166402843&partnerID=8YFLogxK |
| الوسوم: |
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مواد مشابهة
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