In this project, we implemented a deep neural network for classifying CalTech256 image dataset using Keras. We used pre-trained VGG16 model as baseline and performed transfer learning on top of the model by training only the Soft-max layer. Using this tecnique, we achieved a classification accuracy of 66%
lmelvix/caltech256-img-classify-transfer-learning
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CalTech256 image classification by Transfer Learning from VGG16 pre-trained model
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