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Parallel Distributed Processing Theory in the Age of Deep Networks [pdf]
- mandarlimaye 9y agoThis is BS .. where is the full text?
- Schiphol 9y agoI'm sorry, I was browsing using my university proxy and didn't think this was obviously paywalled. Apologies.
- deleted 9y ago[deleted]
- dang 9y agoCan you please not break the HN guidelines even when there isn't the full text? Angrily entitled comments are definitely not in the spirit of the site. https://news.ycombinator.com/newsguidelines.html https://news.ycombinator.com/newsguidelines.html
- Schiphol 9y agoA not-paywalled version of the paper can be found here: http://jeffbowers.blogs.ilrt.org/files/2017/11/bowers-tics-2017.pdf http://jeffbowers.blogs.ilrt.org/files/2017/11/bowers-tics-2...
- posterboy 9y agoAbstract: > Parallel distributed processing (PDP) models in psychology are the precursors of deep networks used in computer science. However, only PDP models are associated with two core psychological claims, namely that all knowledge is coded in a distributed format and cognition is mediated by non-symbolic computations. These claims have long been debated in cognitive science, and recent work with deep networks speaks to this debate. Specifically, sin- gle-unit recordings show that deep networks learn units that respond selec- tively to meaningful categories, and researchers are finding that deep networks need to be supplemented with symbolic systems to perform some tasks. Given the close links between PDP and deep networks, it is surprising that research with deep networks is challenging PDP theory.