Web page pattern recognition method and visual structure learning method based on deep learning
A technology of deep learning and pattern recognition, which is applied in the Internet field, can solve the problems that pattern recognition is difficult to obtain the recognition effect, and achieve the effect of reducing feature loss and ensuring convergence
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[0025] The technical solution is described in detail below:
[0026] The web page pattern recognition method based on deep learning of the present invention comprises the following steps:
[0027] A. Non-formatted text, using the Hypertext Markup Language (Hypertext Markup Language), that is, the Text source code of HTML as the algorithm input;
[0028] B. Preprocessing the Text source code of the above web page HTML;
[0029] C. Design Stacking Denoising Autoencoders (Stacking Denoising Autoencoders), referred to as SDAE, as a deep learning algorithm for web page features; use the Neural Network Language Model (Neural Network LanguageModel), referred to as NNLM, for the input of the Stacking Denoising Autoencoder SDAE Initialize, the output obtained in the previous step is used as the input of the neural network language model NNLM, and the initial feature vector output of the Text source code is obtained, and this initial feature vector is used as the input of the stacked n...
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