Transfer Learning for Small Datasets 3 - Image Index | 20 Ways AI is Advancing Non-Invasive Glucose Monitoring Analysis Transfer Learning for Small Datasets: An abstract representation of transfer learning for small datasets, with a dark blue background and gold dots scattered throughout. The visual elements are reminiscent of a neural network's architecture, where the gold dots represent neurons or nodes connected by lines. This structure is characteristic of how deep learning models learn from one another and adapt to new tasks. The image suggests that even with limited data, these networks can still be effective in solving complex problems. It also implies that the process of transfer learning allows for the reutilization of pre-trained models, reducing the need for extensive training on large datasets.
