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- W2096563800 abstract "Recently sequential model based optimization (SMBO) has emerged as a promising hyper-parameter optimization strategy in machine learning. In this work, we investigate SMBO to identify architecture hyper-parameters of deep convolution networks (DCNs) object recognition. We propose a simple SMBO strategy that starts from a set of random initial DCN architectures to generate new architectures, which on training perform well on a given dataset. Using the proposed SMBO strategy we are able to identify a number of DCN architectures that produce results that are comparable to state-of-the-art results on object recognition benchmarks." @default.
- W2096563800 created "2016-06-24" @default.
- W2096563800 creator A5001483230 @default.
- W2096563800 date "2015-01-30" @default.
- W2096563800 modified "2023-09-27" @default.
- W2096563800 title "Hyper-parameter optimization of Deep Convolutional Networks for object recognition" @default.
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