Method and device for fine tuning of CNN model
A technology of models and clustering algorithms, applied in the field of deep learning, can solve problems affecting the performance of CNN models, achieve the effects of reducing mutual influence, simple implementation, and weakening influence
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[0038] The method and device for fine-tuning a CNN model provided by the present invention will be described in more detail below with reference to the accompanying drawings and embodiments.
[0039] Such as figure 2 As shown, the embodiment of the present invention provides a method for fine-tuning a CNN model, and its specific implementation is as follows:
[0040] Step 210: Perform image feature extraction on all input sample images based on the pre-trained CNN model to obtain image features of multiple categories;
[0041] Step 220: For the image features of each category, use a clustering algorithm to cluster the image features within the category to obtain the cluster center of each cluster;
[0042] Step 230: Calculate the error using a preset objective function; wherein the objective function is used to gather the image features in each cluster toward the cluster center;
[0043] Step 240: Reversely transmit the error in the CNN model, and update the parameters of the CNN model...
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