Expediting Training Using Information Theory Based Patch Ordering Algorithm

We present a framework for automatically ordering image patches that enables in-depth analysis of dataset relationship to learnability of a classification task using convolutional neural network. Our preliminary experimental results show that an informed smart shuffling of patches at a sample level ... View More