Harnessing Lineage for Continuous Improvement in your Deep Learning Datasets
In the world of deep learning, the foundation of model success rests upon the datasets they are trained on. These datasets act as the lifeblood of machine learning applications for solving real world problems. While both supervised and unsupervised datasets play crucial role in shaping the capabilities of deep learning models, it’s the supervised datasets that stand out as the gold standard for achieving robust and reliable performance. These datasets come armed with meticulously and usually human labelled ground truth, guiding the models towards precision.
