Transfer learning algorithm based on active learning
A technology of transfer learning and active learning, applied in the field of machine learning, it can solve the problem of high cost of data labeling, and achieve the effect of performance improvement and good transfer ability.
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[0028] A migration learning algorithm based on active learning proposed by the present invention will be described in detail below with reference to the accompanying drawings.
[0029] like figure 1 As shown, the migration learning algorithm based on active learning proposed in the present invention comprises the following steps:
[0030] Step 1) Determine the input variables of the algorithm, including the source domain and target domain data sets to be trained, the current iteration number t, the current model Mt, and the selected marked data set Q;
[0031] Step 2) Use an unsupervised domain adaptive algorithm to train the source and target domain datasets to obtain an initialized model M0;
[0032] Step 3) For each sample point x in the target domain data set X, calculate its feature x'=conv(x) extracted after passing through the convolutional layer;
[0033] Step 4) Calculate feature discriminative index
[0034] Step 5) Calculate the uncertainty index of sample x, w...
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