张旭龙

摘要： Geoffrey E. Hinton's Publications Helmholtz Machines Online versions [if available] can be found in my chronological publications 阅读全文

摘要： Relevant literature Book chapter about the philosophy behind deep architecture model, motivating them in the context of Artificial Intelligence 阅读全文

摘要： Deep Belief Nets (DBN's) will be explained in the lecture on Oct 29. Instead of learning layers of features by backpropagating errors, they learn one layer at a time by trying to build a generative model of the data or the activities of the feature detectors in the layer below. After they have learned features in this way, they can be fine-tuned with backpropagation. Their main advantage is that they can learn the layers of features from large sets of unlabelled data. 阅读全文