Part 6/10:
Unsupervised feature learning methods focus on creating representations that can be used in various downstream tasks without the need for labeled data. The development of techniques such as convolutional neural networks (CNNs) and advanced architectures further aids in achieving robust features from unlabelled data sources.
- Generative Models: