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>If you compare at a high level how infants learn and how we train RNN/CNNs they are remarkably similar. That doesn't sound correct. Infants engage in active
by eli_gottlieb 10y ago
>If you compare at a high level how infants learn and how we train RNN/CNNs they are remarkably similar.
That doesn't sound correct. Infants engage in active inference to resolve their uncertainties, engage in transfer learning between different domains by default, and use their transfer-learning abilities to learn new categories or domains from even just one example.
- AndrewKemendo 10y agoSo I would say - kind of. But at it's root, the mechanisms are based on having a social network of people touching, talking, playing etc... that does the training - though it might not look the same. A perfect example I use all the time which is much later in development but relevant, is when a 1.5 year old will point at something and ask if it's a [thing]. The initial training was people segmenting (holding, moving different ways) classifying (calling it [thing], asking for [thing], telling the subject it is [thing]), which was then reinforced/weighted by asking if [thing] was indeed [thing]. So it doesn't look like explicit training, but it follows all the same steps.