Deep migration learning system and method based on entropy minimization
A technology of transfer learning and minimum entropy, which is applied in the field of learning systems to achieve fast convergence and high classification accuracy
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[0034] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0035] figure 1 is a flow chart of a deep transfer learning method based on entropy minimization provided by an embodiment of the present invention, as shown in figure 1 As shown, the method includes:
[0036] Step S1, according to different transfer learning tasks, divide the source domain and the target domain, construct a transfer learning network, and initialize network hyperparameters.
[0037] Constructing the transfer learning network based on the feature extractor and the classifier;
[0038] It can be understood that the migration learning network provided by the embodiment of the present invention is composed of two parts: a feature extractor and a label classifier, the feature extractor is used to extract the features of the input sample set, and the classifier is used to perform predictive classification.
[0039] Specifically, taki...
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