Neural Architecture Search with Reinforcement Learning
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Cites background from "Neural Architecture Search with Rei..."
...Beyond manually designing neural networks, researchers also explored the possibility of learning network architectures from training data automatically [37][42]....
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Cites background or methods from "Neural Architecture Search with Rei..."
...Indeed, recent works that use such RL techniques for neural net architectural search [25] or conditional computation [13], only scale to small networks and datasets [13], or use large computational resources for training, e....
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..., in recent work 800 GPUs were used concurrently [25], as opposed to a single GPU in our 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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"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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