Neural Architecture Search with Reinforcement Learning
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Cites background from "Neural Architecture Search with Rei..."
...More recently, by posing the structure and connectivity of a neural network as a variable-length string, the network architecture search work [47] utilizes a recurrent network to generate a such string (i....
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...Whether architecture are handcrafted [22, 4, 36, 14, 18, 6] or learned through architecture search [47], the process of finding the right architecture for a task requires significant effort for each individual case....
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References
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"Neural Architecture Search with Rei..." refers methods in this paper
...Along with this success is a paradigm shift from feature designing to architecture designing, i.e., from SIFT (Lowe, 1999), and HOG (Dalal & Triggs, 2005), to AlexNet (Krizhevsky et al., 2012), VGGNet (Simonyan & Zisserman, 2014), GoogleNet (Szegedy et al., 2015), and ResNet (He et al., 2016a)....
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42,067 citations
31,952 citations
"Neural Architecture Search with Rei..." refers methods in this paper
...Along with this success is a paradigm shift from feature designing to architecture designing, i.e., from SIFT (Lowe, 1999), and HOG (Dalal & Triggs, 2005), to AlexNet (Krizhevsky et al., 2012), VGGNet (Simonyan & Zisserman, 2014), GoogleNet (Szegedy et al., 2015), and ResNet (He et al., 2016a)....
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