Used transfer learning by training a classifier on top of VGG16, a popular, former state-of-the-art convolutional neural network that was trained on the ImageNet data set. After building classifier, trained this Python model written in Tensorflow on the Tensorflow flower data set. Utilized Titan X Pascal GPU to accelerate training and achieved an accuracy rate of 90.74%.
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Used transfer learning by training a classifier on top of VGG16, a popular, former state-of-the-art convolutional neural network that was trained on the ImageNet data set
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