Face noise data set CNN training method based on overall cosine distribution
A data set and training data set technology, applied in the field of image recognition, can solve problems such as difficult acquisition of prior knowledge, large fluctuations in loss values, poor recognition effect, etc., and achieve small memory resources, large representation benefits, and small computing resources. Effect
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[0068] The present invention proposes a face noise data set CNN training method based on the overall cosine distribution, which will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments described in the present invention are exemplary, and are only used for explaining the present invention, but not construed as limiting the present invention.
[0069] The present invention proposes a kind of face noise data set CNN training method based on overall cosine distribution, comprises the following steps:
[0070] 1) Select the face training data set containing noise and record it as D all (the human face training data set comprises human face sample picture and the corresponding label of each picture, can adopt off-the-shelf human face training data set, wherein the number of label categories is not less than 1000, the number of human face sample pictures of each category Not less than 10), construct a benchmar...
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