In practice neural networks create a new kind of architectures of highly parallel computations.
人工神经网络在许多应用领域中建立了一种新的高度并行计算的结构。
After parallel algorithms came grid computing, which ran parallel computations on idle desktops.
并行算法发明以来,首先迎来的是网格计算,网格计算是借助空闲的桌面计算机资源进行并行计算。
But the question remains, how do all those parallel computations become integrated, and how does the self feel that "I" made the decision?
但问题依然存在,所有这些并行计算是如何整合起来的,自我如何感觉到是“我”做了这个决定?
应用推荐