Deep Learning with Limited Data: A Viable Option

This article highlights the growing accessibility of deep learning techniques, suggesting that large datasets are not always a prerequisite for success. It implies that advancements in transfer learning and data augmentation are making deep learning more practical for a wider range of applications.

• •Deep learning can be employed even with limited datasets.
• •Transfer learning and data augmentation are key enabling technologies.
• •This expands the applicability of deep learning to new domains.