摘要
阐述基于深度学习的电子技术在通信、图像处理、语音识别中的应用.分析深度学习模型在目标检测、自然语言处理、自动控制方面的优势与挑战.提出模型剪枝、硬件加速的优化方法.
Abstract
This paper describes the application of electronic technology based on deep learning in communication,image processing,and speech recognition.It analyzes the advantages and challenges of deep learning models in object detection,natural language processing,and automatic control.It proposes optimization methods for model pruning and hardware acceleration.
维普
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