基于神经网络算法的视频深度识别技术分析

Analysis of Video Depth Recognition Technology Based on Neural Network Algorithm

阐述视频深度识别的概念和原理,探讨卷积神经网络、循环神经网络和深度强化学习在视频深度识别中的应用,并分析数据集构建、特征提取以及深度学习模型设计中的关键技术。

This paper describes the concept and principles of video depth recognition,explores the applications of convolutional neural networks,recurrent neural networks,and deep reinforcement learning in video depth recognition,and analyzes the key technologies of dataset construction,feature extraction,and deep learning model design.