© Phil Kim 2017
Phil KimMATLAB Deep Learning10.1007/978-1-4842-2845-6_66. Convolutional Neural Network
Phil Kim1
(1)Seoul, Soul-t’ukpyolsi, Korea (Republic of)
Chapter
5 showed that incomplete training is the cause of the poor performance of the deep neural network and introduced how Deep Learning solved the problem. The importance of the deep neural network lies in the fact that it opened the door to the complicated non-linear model and systematic approach for the hierarchical processing of knowledge.
This chapter introduces the convolutional neural network (ConvNet)
, which is a deep neural network specialized for image recognition. This technique exemplifies how significant the improvement of the deep layers is for information (images) processing. ...