Optimizing Multi-Stream Convolutional Neural Networks: Enhanced Feature Extraction and Computational Efficiency
Optimizing Multi-Stream Convolutional Neural Networks: Enhanced Feature Extraction and Computational Efficiency The rapid advancement of artificial intelligence (AI) has propelled deep learning (DL) to the forefront of technological innovation, particularly in computer vision, natural language processing, and speech recognition. Convolutional neural networks (CNNs), a cornerstone of DL, have demonstrated exceptional performance in image processing and pattern recognition. However, traditional single-stream CNN architectures face limitations in computational efficiency and processing capacity when dealing with increasingly complex tasks and large-scale datasets. Multi-stream…