I read the paper, Visualizing and Understanding Convolutional Networks, by Zeiler and use the deconvolutional neural network to visualize my trained CNN. After visualizing the ConvNets, how do we interpret those features?For example in my case, I make CIFAR-10 dataset into imbalance dataset and I use this deconv algorithm to visualize it. I'm trying to explain in the case of imbalance data what does the CNN learned compares to the CNN trained by balance dataset. But what it a considered as a good features?
After visualizing the ConvNets, how do we interpret those features?
deep learning;convnet