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An ML algorithm that can be reused for both recognition, generation, and novel generalization tasks is already a step above most of the entire field.
by eli_gottlieb 11y ago
An ML algorithm that can be reused for both recognition, generation, and novel generalization tasks is already a step above most of the entire field.
- turel 11y agoBy 'entire field' you mean handwriting recognition? They reduce the search space by limiting themselves to combinations of typical pen movements. Very smart, but I cannot see how it can be applied to machine learning in general.
- eli_gottlieb 11y ago>By 'entire field' you mean handwriting recognition? Classification of high-dimensional data is a huge portion of machine learning. >They reduce the search space by limiting themselves to combinations of typical pen movements. "They reduce the search space by limiting themselves to gradients of nearby pixels. Very smart, but I don't see how convolutional neural networks can be applied to machine learning in general." All of machine learning involves some prior knowledge -- the question is always how much and at what level of abstraction.