Learning deep neural networks: necessity and scope of prior knowledge, raw data, and labels
<p>The recent rise in machine learning has been largely made possible by novel algorithms, such as convolutional neural networks and large-scale labelled datasets. Yet obtaining labelled datasets is expensive, does not scale well, and should not be necessary for learning general representati...
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Format: | Thesis |
Language: | English |
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2021
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