DECIPHERING DEEP NEURAL NETWORKS FOR ENHANCED ARTIFICIAL INTELLIGENCE

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 challenging to understand their decision-making processes. Scientists are actively pursuing methods to decipher these networks,

Deep learning, a branch of machine learning, has demonstrated remarkable capabilities in addressing complex tasks. By leveraging vast libraries of data and intricate networks, deep learning algorithms can identify patterns and insights that were previously imperceptible. This has fueled optimism about its potential to contribute the development of