How can I use a trained CNN to predict a new image label?
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abich
el 16 de Mayo de 2017
Comentada: Kristian Dubrie
el 10 de Abr. de 2019
I was applying the following CNN fine-tuning example : https://www.mathworks.com/help/nnet/examples/transfer-learning-and-fine-tuning-of-convolutional-neural-networks.html
The example shows how to fine-tune a pre-trained CNN on letters to classify images of digits. Now i would like to use this new fine-tuned CNN on new images of digits that i have on my computer. How can I do that?
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Gergely Szépvölgyi
el 24 de Sept. de 2017
Has there been a solution to this since may? I'm facing the exact same problem here.
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Cam Salzberger
el 16 de Mayo de 2017
Hello Abich,
The example you linked shows how to train on a new set of images. I am not a neural networks expert, but if the output you are looking for is the same as the output from the retrained network (digits 0-9), I do not even think you need to replace the final three layers of the network. You can just create the image datastore for your new images, set any options you would like with "trainingOptions", and then call "trainNetwork".
Did you have some specific questions about a particular step?
-Cam
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