Unveiling the intricacies of deep neural networks is paramount for enhancing artificial intelligence (AI) capabilities. These complex models, with their myriad layers and parameters, often operate as black boxes, making it difficult to understand their decision-making processes. Scientists are actively pursuing techniques to decipher these networks

Deep learning, a subset of machine learning, has demonstrated remarkable capabilities in solving complex tasks. By leveraging vast pools of data and intricate structures, deep learning algorithms can extract patterns and insights that were previously imperceptible. This has fueled excitement about its potential to drive the development of Artificia