Relative algorithms behind Smart Home

Deep learning was first proposed by Hinton et al. in 2006. The essence of deep learning is an artificial neural network, which refers to a collection of algorithms, solving various problems such as images and texts on multi-layer neural networks. The core of deep learning is feature learning, which aims to obtain feature information through a hierarchical network, so as to solve the important problem of manually designing features in the past.


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