Learning Deep Architectures for AI
transfer much of human knowledge into machine-interpretable form. One of the important points we argue in the first part of this pa per is that the functions learned should have a structure composed of multiple levels, analogous to the multiple levels of abstraction that humans naturally envision when they describe an aspect of their world.
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