Research on Automatic Feature Extraction Model Based on Deep Reinforcement Learning
The application of deep reinforcement learning in automatic feature extraction is introduced.Firstly,the ex-isting feature extraction methods are briefly summarized,including traditional feature extraction methods,deep learn-ing-based feature extraction methods and deep reinforcement learning-based feature extraction methods.Then,the deep reinforcement learning and image processing technology are described.Finally,the design method of automatic feature extraction model based on deep reinforcement learning is introduced in detail,including data set preparation and processing,model architecture design,model training process and parameter setting,analysis and evaluation of experimental results.This model can improve the accuracy and efficiency of image processing,and has a high popu-larization value.
deep reinforcement learningautomatic feature extractionimage processingmodel training
NETL
NSTL
万方数据
维普
