Is synthetic data the future of deep learning?
What is synthetic data and how is it used?
- Synthetic data is an increasingly popular tool for training deep learning models, especially in computer vision but also in other areas. In this work, we attempt to provide a comprehensive survey of the various directions in the development and application of synthetic data.
What is the role of deep learning in machine learning?
- It emphasizes understanding the effects of interactions between agents on a system as a whole. Deep learning models: Variational autoencoder and generative adversarial network (GAN) models are synthetic data generation techniques that improve data utility by feeding models with more data.
How to generate synthetic data in Python machine learning?
- Scikit-learn is one of the most widely-used Python libraries for machine learning tasks and it can also be used to generate synthetic data. One can generate data that can be used for regression, classification, or clustering tasks. SymPy is another library that helps users to generate synthetic data.
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