representation-learning-tutorial-2012ICML 2012 Representation Learning Tutorial Yoshua Bengio U. Montreal June 26th, 2012, Edinburgh, Scotland The success of machine learning algorithms generally depends on data representation, and we hypothesize that this is because different representations can entangle and hide more or less the different explanatory factors of variation behind the data. Although domain knowledge can be used to he
数理計画法 学習用テキスト (東工大 水野研)
