Can the human mind learn to backward induce? A neural network answer 来自 EconPapers 喜欢 0 阅读量: 13 作者: L Spiliopoulos 摘要: This paper addresses the question of whether neural networks, a realistic cognitive model of the human information processing, can learn to backward induce in a ...
Of course, just because we know a neural network exists that can (say) translate Chinese text into English, that doesn't mean we have good techniques for constructing or even recognizing such a network. This limitation applies also to traditional universality theorems for models such as Boolean ...
NIPS2014论文:Distilling the knowledge in a neural network 笔记: 总体框架: Page 1 For tasks like speech and object recognition, training must extract structure from very large, highly redundant datasets but it does not need to operate in real time and it can use a huge amount of computation....
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A.We can offer comfort by our calming silence. B.The silence often leaves the other person puzzled. C.To comfort them, you may tell them a similar painful situation. D.Often the other person would quickly get the needed answer in silence. ...
There could be one or more nodes in the output layer, from which the answer it produces can be read. ANNs are noted for being adaptive, which means they modify themselves as they learn from initial training, and subsequent runs provide more information about the world. The most basic ...
We next sought to use this task to answer our key questions. First, what principles do individuals follow when they use attributes of instrumentally valuable extrinsic rewards, like money and juice, to compute the subjective value of non-instrumental choice attributes, like information about future...
, which provides input data for the tier n-1 nodes. there could be one or more nodes in the output layer, from which the answer it produces can be read. anns are noted for being adaptive , which means they modify themselves as they learn from initial training, and subsequent runs ...
There is no concrete answer to how neural networks recognize images. Every neural network architecture has its own specific parts that make the difference between them. Also, neural networks in every computer vision application have some unique features and components....