Deep Learning Technology

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data, achieving high accuracy in various tasks. Current research emphasizes improving model efficiency and robustness, exploring architectures like convolutional neural networks (CNNs), transformers, and variations of YOLO, while also addressing security vulnerabilities and ethical concerns such as bias and privacy. These advancements are significantly impacting diverse fields, including medical diagnosis, autonomous driving, retail automation, and infrastructure monitoring, by enabling more accurate and efficient solutions to complex problems. Furthermore, there's a growing focus on developing more energy-efficient and interpretable deep learning models.