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Fusion Based Deep Cnn for Comprehensive Cars
I attempt to use a model of combining features of convolutional neural networks to classify cars from the Comprehensive Cars Data set. I try to improve on the single model approach by fusing features from multiple convolutional neural networks. the networks in question that I tried to fuse in this way are: ResNet, GoogLeNet, and CNDS. Initial training procedures showed promise with expected high accuracy, however, I was unable to successfully fuse the networks. I was not able to classify images extracted features with a support vector machine or random forest.
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