深度学习是一个通用术语，指的是一类模式分析方法，对于特定的研究，主要包

Deep learning is a general term referring to a class of pattern analysis methods. For specific research, it mainly includes three types of methods. <br>(1) Convolution operation, that is, a neural network system based on a convolutional neural network. <br>(2) Self-coding neural networks based on multi-layer neurons, including two types of self-coding and sparse coding, have received extensive attention in recent years. <br>(3) After pre-training in the form of a multi-layer self-coding neural network, combine the identification information to further optimize the deep network weight of the neural network

Deep learning is a general term that refers to a type of pattern analysis method, for a particular study, mainly includes three types of methods. <br>(1) Convolution operation, that is, a neural network system based on convolutional neural network. <br>(2) Self-coding neural networks based on multi-layer neurons, including self-coding and sparse coding, have received wide attention in recent years. <br>(3) After pre-training in the form of multi-layer self-coding neural network, the deep network that combines recognition information to further optimize the weight of the neural network

Deep learning is a general term, which refers to a kind of pattern analysis method. For specific research, it mainly includes three types of methods.<br>(1) Convolution operation is a neural network system based on convolution neural network.<br>(2) Self coding neural network based on multilayer neurons, including self coding and sparse coding, has been widely concerned in recent years.<br>(3) After pre training in the form of multilayer self coding neural network, the recognition information is combined to further optimize the depth network of neural network weight