Training method and device for zero-shot learning model based on reinforcement learning
A technology of reinforcement learning and sample learning, which is applied in the field of image recognition, can solve problems such as poor effect, and achieve the effect of improving performance, improving accuracy and effect
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[0044] In order to solve the problem of poor effect of traditional technology in image target search, the present application adopts the method of obtaining a trained classification model; fixing the parameters in the trained classification model, and inputting training data into the trained The classification model of the classification model; obtain the feature data obtained after the feature extraction of the training data from the trained classification model, and convert the feature data into a state vector; input the state vector to the action based on reinforcement learning The prediction model is used to predict the action prediction result according to the current reward value and execute the corresponding action to adjust the input training data; optimize the parameters in the action prediction model based on reinforcement learning through the loss function to obtain the trained An action prediction model based on reinforcement learning, so as to form a technical solu...
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