Deep Learning Literature Reading notes (4)

31. Convolution neural Network and its application in its vision (convolutional Networks and Applications in Vision) (English, conference papers, 2010, IEEE Search)

This paper introduces the principle and structure of CNN in detail, summarizes the application of convolutional neural network in many aspects, and gives the CNN unsupervised training improvement Program, and makes a lot of comparison and realization, the reference literature has authoritative.

32. Joint training of convolutional networks and non-convolutional networks (Joint training of convolutional and non-convoltional Neural Networks) (English, conference papers, 2014, IEEE Search)

This paper mainly introduces the application of convolutional neural network in speech recognition, and abstracts the depth structure of convolutional networks.

33, Sparse filter (Sparse Filtering) (English, conference papers, 2011, ei Search)

As a typical improvement of CNN training unsupervised, the sparse filtering algorithm, which belongs to the original literature of sparse filtering algorithm, and mentions the idea of combining CNN with SVM, is the necessary reference for the unsupervised improvement of CNN training.

34. Vehicle type identification using unsupervised convolutional neural networks (Vehicle type classification using unsupervised convolutional neural network) (English, conference papers, 2014, IEEE search)

This article uses convolutional neural networks for vehicle type identification, which is a new problem in old methods. At the same time, the unsupervised improvement of convolutional networks is explained very clearly, and the sparse filtering algorithm is used to break the traditional limitation of BP rules and is a typical application of sparse filtering method.

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Deep Learning Literature Reading notes (4)