Performance analysis of optimization algorithms for convolutional neural network-based handwritten digit recognition
Abdulhakeem Qusay Albayati,
Sarmad A. Jameel Altaie,
Wasseem N. Ibrahem Al-Obaydy
et al.
Abstract:Handwritten digit recognition has been widely researched by the recognition society during the last decades. Deep convolutional neural networks (CNN) have been exploited to propose efficient handwritten digit recognition approaches. However, the CNN model may need an optimization algorithm to achieve satisfactory performance. In this work, a performance evaluation of seven optimization methods applied in a straightforward CNN architecture is presented. The inspected algorithms are stochastic gradient descent (… Show more
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