kbasu2016 / dog-project-cnn

I applied Convolutional Neural Network (CNN) to classify a dog’s breed given an user-supplied images. With the image of the dog, my algorithm will identify an estimate of the canine’s breed. Instead of training my network from scratch, I wisely used VGG-16 and ResNet-50 models for transfer learning and achieved a great deal of accuracy and robustness. I used Keras to build my CNN architecture.

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