Results & Conclusion
During my investigation into transformer fine-tuning, I delved into the process of constructing hierarchical models for generic classifiers by fine-tuning pre-trained convolutional neural networks (CNNs). Additionally, I explored the captivating realm of neural style transfer and its application to my own images. This endeavor proved to be an extensive and enlightening learning experience. The concepts of deep learning and artificial intelligence have brought forth exciting possibilities in the intersection of art and technology.
At first, I explored the concept of transformer fine-tuning. This involves adapting pre-trained language models to carry out specific tasks, such as classifying art genres and identifying artist styles. Through this process, I gained an understanding of the capabilities of neural networks in examining patterns, brushstrokes, colors, and compositions that are unique to various artists and genres. Observing technology decode the intricacies of art, thereby increasing its accessibility to individuals who appreciate art, such as myself, was an extraordinary encounter.
Another interesting aspect of my journey was the construction of hierarchical models for generic classifiers using pre-trained convolutional neural networks (CNNs). This methodology enabled me to comprehend the fundamental framework of artworks and their potential for classification. By employing the technique of fine-tuning Convolutional Neural Networks (CNNs), I was able to develop classifiers capable of discerning different artistic styles. This approach offers a more profound understanding of the art world. The process was both difficult and fulfilling, providing insight into the combination of art and advanced technology.
One of the most visually captivating aspects of my investigation was the technique known as neural style transfer. By employing this method, I was able to combine traditional artistic styles, such as those utilized by Vincent Van Gogh, with my own personal imagery. The capacity to combine diverse artistic attributes and generate a fusion of traditional and modern art was both artistically stimulating and a demonstration of the limitless potential of AI in the realm of artistic expression.
As I draw my project to a close, I perceive the potential application of these concepts in enhancing art archives by imbuing them with interactivity. By incorporating these technologies into art platforms, we can enhance the accessibility of art, thereby increasing engagement and comprehension among a broader range of individuals. These tools possess the capability to provide in-depth understanding of artworks, allowing users to gain a greater appreciation of the historical background and significance of each piece. The combination of art and technology has the potential to inspire a more profound investigation of the intriguing ideas discovered in this domain, revolutionizing our encounters and engagements with art.
