Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability
نویسندگان
چکیده
منابع مشابه
Learnability of Learned Neural Networks
This paper explores the simplicity of learned neural networks under various settings: learned on real vs random data, varying size/architecture and using large minibatch size vs small minibatch size. The notion of simplicity used here is that of learnability i.e., how accurately can the prediction function of a neural network be learned from labeled samples from it. While learnability is differ...
متن کاملLearnability of Learned Neural Networks
This paper explores the simplicity of learned neural networks under various settings: learned on real vs random data, varying size/architecture and using large minibatch size vs small minibatch size. The notion of simplicity used here is that of learnability i.e., how accurately can the prediction function of a neural network be learned from labeled samples from it. While learnability is differ...
متن کاملLearnability of Learned Neural Networks
This paper explores the simplicity of learned neural networks under various settings: learned on real vs random data, varying size/architecture and using large minibatch size vs small minibatch size. The notion of simplicity used here is that of learnability i.e., how accurately can the prediction function of a neural network be learned from labeled samples from it. While learnability is differ...
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Within the metaphor of the “mind as a computation device” that dominates cognitive science, understanding human cognition means understanding learnability – not only what (and how) the brain learns, but also what data is available to it from the world. Ideal learnability arguments seek to characterize what knowledge is in theory possible for an ideal reasoner to acquire, which illuminates the p...
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The aim of this paper is to compare what can be computed with what can be learnable by Artificial Neural Networks (ANN). We will approach the learnability problem in ANN by fixing a particular class of ANN: the weightless neural networks (WNN) ([4)) and restricting ourselves to a particular learning paradigm: learning to recognise sentences of a formallanguage. We will approach the computabilit...
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ژورنال
عنوان ژورنال: Frontiers in Artificial Intelligence
سال: 2020
ISSN: 2624-8212
DOI: 10.3389/frai.2020.00043