April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Use the pretrained models from Keras to perform the image classification task. Compare the top-1 versus top-5 accuracy for different models. Also, use a pretrained model from Caffe to classify an image. Finally, train your own image dataset and learn the weights of a model (for example, VGG19) and then use it to predict unseen images.
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