![]() Variational Auto-Encoder ( VAE) -an unsupervised algorithm that can learn the distribution of an original dataset and generate synthetic data via double transformation, known as an encoded-decoded architecture.Here are three neural techniques commonly used to generate synthetic data: They can handle much richer distributions of data than traditional algorithms such as decision trees, and can also synthesize unstructured data like images and video. Neural networks are a more advanced method for generating synthetic data. However, it is considered inaccurate compared to other synthetic data generation methods. The Monte Carlo method uses a simple mathematical structure and is computationally inexpensive. ![]() It can be used to create variations on an initial dataset which are sufficiently random to be realistic.
0 Comments
Leave a Reply. |