Regarding several last questions. I'm going to put new release of the lib which will contain example with faces and would be more convenient to use with various data. It already works in general. But I need a week or two more to finalize it since I do it in my free time.
2Gaurav. It means that file train_cnn.m have comments for almost every line of code, so you can find parameter you want to change and actually change it before start training. Basically train_cnn.m contains settings for network architecture (number of layers, number of neurons etc)
Thanks!
Actually I had a plans to adapt this to face recognition, but unfortunately there're still only plans, because now I have absolutely no time to develop it.
So I'd advice to look closely on preprocessing algorithms and try to make architecture similar to face detection papers advices.
This is a great job. However I have a question. I test this program using the MNIST handwritten digit database. The mcr rate is very high (about 15%) even I train the cnn using 10000 input. If I tried to train the cnn using 60000 input, then the program would took fairly long time, about several hours to finish. Anyway, the mcr is always about 15%. I wonder what parameter we should change to make the prediction accuracy higher. Thanks a lot.
Regarding several last questions. I'm going to put new release of the lib which will contain example with faces and would be more convenient to use with various data. It already works in general. But I need a week or two more to finalize it since I do it in my free time.
This is a great job. However I have a question. I test this program using the MNIST handwritten digit database. The mcr rate is very high (about 15%) even I train the cnn using 10000 input. If I tried to train the cnn using 60000 input, then the program would took fairly long time, about several hours to finish. Anyway, the mcr is always about 15%. I wonder what parameter we should change to make the prediction accuracy higher. Thanks a lot.
Regarding several last questions. I'm going to put new release of the lib which will contain example with faces and would be more convenient to use with various data. It already works in general. But I need a week or two more to finalize it since I do it in my free time.
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