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Parallel distributed processing
David E. Rumelhart · 初版 1986 年
5人推荐
18位读者提及
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为什么值得读
- 详尽梳理早期神经网络与认知微观结构体系
- 证明反向传播算法最大化和谐度即最小化误差
- 包含极具训练价值的研究练习与跨范式思考
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Parallel distributed processing
David E. Rumelhart · 初版 1986 年
正在加载完整评论……
……(当然,imho)。在我看来,用 mathematica(或类似工具)会是一个理智得多的选择,能直击这门学科的本质。另外,读一读像《Parallel Distributed Processing》(第1卷和第2卷)http://www.amazon.com/Parallel-Distributed-Processing-Vol-Fo... 里描述的那种经典(开创性?)著作,也会非常棒。
…(imho ofcourse). in my opinion, using mathematica (or some such) would have been a far saner choice, to get to the essence of the subject. also, a dosage of classical (pioneering ?) work as described in (parallel-distributed-processing vol-1&2) http://www.amazon.com/Parallel-Distributed-Processing-Vol-Fo..., would be just great.
我也斗胆推荐一下 Rumelhart 等人写的上下两卷丛书《Parallel Distributed Processing》,它对早期 NN 研究做了绝佳的概述。
may i also humbly suggest the two vol. series called "parallel distributed processing" (rumelhart et al) which provides an excellent overview of early NN research.
作为一个认知神经科学背景的人,我很惊讶 McClelland 和 Rumelhart 写的《Explorations in Parallel Distributed Processing》居然没有得到更多关注,它可是一部将老派 AI 方法与现代范式连接起来的经典之作啊。https://psycnet.apa.org/record/1988-97441-000
Coming from cognitive neuroscience surprised that Explorations in Parallel Distributed Processing by McClelland and Rumelhart doesn’t get more attention as a classic in bridging old school AI approaches with the modern paradigm. https://psycnet.apa.org/record/1988-97441-000
强烈推荐 Rumelhart 和 McClelland 在 1986-1987 年出版的《Parallel Distributed Processing: Explorations in the Microstructure of Cognition》(共两卷)里的习题 https://direct.mit.edu/books/book/4424/Parallel-Distributed-...
Highly recommend the exercises in Rumelhart and McClelland - Parallel Distributed Processing: Explorations in the Microstructure of Cognition from 1986-1987 (two volumes) https://direct.mit.edu/books/book/4424/Parallel-Distributed-...
Rumelhart 等人写了《Parallel Distributed Processing》;其中有一章证明了 backprop 算法最大化“和谐度”(harmony),这其实就是误差最小化的另一种表述方式。我还记得当年满腔热血地读这本书……
Rumelhart et al wrote "Parallel Distributed Processing"; there's a chapter where he proves that the backprop algorithm maximizes "harmony", which is simply a different formulation of error minimization. I remember reading this book enthusiastically back…
……心灵哲学中一个既有趣又相关的流派,是 Rumelhart、McClelland 以及 PDP 研究组(包括“深度学习教父”Geoff Hinton)的联结主义(connectionism),集中体现在 1986 年出版的大部头《Parallel Distributed Processing》中。它甚至还配有一本如何实现人工神经网络的手册。http://www.cnbc.cmu.edu/~plaut/IntroPDP/index.html 沿着这个思路,David Marr 的……
…interesting and relevant strand of philosophy of mind is the connectionism of Rumelhart, McClelland and the PDP Research Group (including "godfather of deep learning" Geoff Hinton), exemplified in the tome "Parallel Distributed Processing" released in 1986 It even has an accompanying manual on how to implement artificial neural networks. http://www.cnbc.cmu.edu/~plaut/IntroPDP/index.html More along this line is found in David Marr's…