Integration of Convolutional Neural Networks and Human-Computer Interaction for Advancing Art Design

This paper explores the innovative application of convolutional neural networks (CNNs) and human-computer interaction (HCI) in art design, facilitated by advanced web-services technology. The integration of these technologies aims to streamline the creative process, making it more accessible and cost-effective for artists. By leveraging deep learning algorithms for style transfer and visual content processing, this research demonstrates how CNNs can transform user inputs into unique artworks. Furthermore, HCI principles ensure a seamless interface between users and digital tools, enhancing usability and efficiency. This study also addresses the challenges associated with artificial intelligence in art creation, including ethical considerations and the preservation of cultural heritage. Through practical implementations and case studies, the paper highlights the potential for web-based platforms to democratize art creation while maintaining artistic integrity.