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CIFAR-10 Image Classification Models by meroohesham1932 is a document available to read on EtoBox.

This study compares a handcrafted Convolutional Neural Network (CNN) and a transfer learning model based on VGG16 for classifying images in the CIFAR-10 dataset. The transfer learning model significantly outperformed the handcrafted CNN, highlighting the advantages of using pre-trained models for image classification. Future work will focus on optimizing the transfer learning model and exploring other advanced ensemble methods.

Author

meroohesham1932

Language

EN