AlexNet Architecture

AlexNet, a foundational convolutional neural network (CNN) architecture, serves as a basis for numerous applications requiring image analysis and classification. Current research focuses on optimizing AlexNet's performance and efficiency across diverse tasks, including agricultural product grading, medical image analysis (e.g., pneumonia detection), and tropical cyclone intensity estimation, often employing techniques like data augmentation and ensemble methods. These advancements demonstrate AlexNet's adaptability and continued relevance in various fields, highlighting its value as a robust and relatively efficient model for practical applications despite the emergence of more complex architectures.