In the realm of deep learning, learnables emerge as fundamental elements. These values, often represented as numbers, undergo a algorithm known as {training|. This repetitive approach permits machine models to absorb patterns and associations from data, ultimately enhancing their ability to make reliable predictions. Modularity of Learnables: On