A Deep Neural Network Structure Design Method Inspired by Optimization Algorithms
A deep neural network and network structure technology, applied in neural learning methods, biological neural network models, etc., can solve problems such as the inability to design network structures, and achieve time-saving and computing resources, high-efficiency neural network structures, and low classification error rates Effect
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[0036] The present invention is further described below with reference to the accompanying drawings, but will not limit the scope of the invention in any way.
[0037] The present invention is applicable to any case using deep neural networks, such as image classification, object detection, character recognition, etc., to name but one embodiment herein, i.e. the present invention is applied to face recognition. Face recognition system mainly comprises four components, each image capture and a human face is detected, face image pre-processing, feature extraction and face image building classifiers to identify facial features. Depth convolutional neural network contains feature extraction and feature recognition process, based on the feature and superior to the face, the other face recognition support vector machine, line Hausdorff distance.
[0038] The present embodiment includes the following steps:
[0039] Step 1, the face data collection;
[0040] Is acquired by the imaging le...
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