User 2334 | 10/26/2015, 4:59:30 PM
I am new to deep learning and wondering how to improve the accuracy of my neural network. I have a set of labeled images form cells which I want to classify in 3 groups (4500 images for each group).
I have tried to use a pre-trained network (imagenet) which gives me about 0,81 accuracy. Increasing the amount of images does not really increase my accuracy, I get approximately the same number if I use 300 or 3000 images.
However, if I use my own neural network the accuracy is slowly increasing (300 images about 0,63 -> 3000 images 0,73) but still not as good as for the pre-trained model.
Any hints would be very appreciated, Thanks