Deep learning
Citations
297 citations
297 citations
296 citations
Cites background or methods from "Deep learning"
...For instance, a bird’s eye view without detailed explanations can be found in LeCun et al. (2015), a historic summary with many detailed references in Schmidhuber (2015) and reviews about application domains, e.g., image analysis (Rawat andWang, 2017; Shen et al., 2017), speech recognition (Yu and…...
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...The following Table 2 does not aim to provide a comprehensive list, but it includes the most popular models currently used (Yoshua, 2009; LeCun et al., 2015)....
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...Further application areas include image recognition (Krizhevsky et al., 2012a; LeCun et al., 2015), speech recognition (Graves et al., 2013), natural language understanding (Sarikaya et al., 2014), acoustic modeling (Mohamed et al., 2011) and computational biology (Leung et al., 2014; Alipanahi et…...
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...It has been shown that the backpropagation algorithm with SGD can learn good neural network models even without a pre-training stage when the training data are sufficiently large (LeCun et al., 2015)....
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...…therefore is that local convolutional operations in an image result in values that contain certain characteristics of the image, because in images local values are generally highly correlated and the statistics formed by the local values are often invariant in the location (LeCun et al., 2015)....
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296 citations
296 citations
References
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