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Effects of Pre-Processed Training Data on Convolutional Neural Network’s Training Accuracy Where Training Dataset Is Small
  • Syed Jafar S. Mahmood
Syed Jafar S. Mahmood
North South University
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Abstract

This paper presents the effects of pre-processed image based training data on Convolutional Neural Network’s (CNN’s) training accuracy where training dataset is small and insufficient. The goal of this research is to discover whether or not a convolutional neural network can perform better with a small quantity of image dataset that are pre-processed using color quantization through K-means clustering or histogram equalization.