Finding Features with Deep learning auto-encoders.
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Hi there, i have been training my neural network with autoencoders and it has been working well.
I followed this tutorial: https://www.mathworks.com/help/nnet/examples/training-a-deep-neural-network-for-digit-classification.html
I've got good results, 85% accuracy.
Now I want to isolate the region responsible for these predictions. I need to know which pixels in the image are contributing these predictions.
How do i go about doing that?
Thanks.
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2017-8-9
2017-8-10
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