Generative model: Revision history

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20 March 2023

  • curprev 01:1801:18, 20 March 2023‎ Walle talk contribs‎ 3,917 bytes +3,917‎ Created page with "{{see also|Machine learning terms}} ==Introduction== A generative model is a type of machine learning algorithm that aims to learn the underlying probability distribution of the training data in order to generate new data samples that resemble the original dataset. These models have been widely adopted in various applications such as natural language processing, image synthesis, and anomaly detection. ==Types of Generative Models== Generative models can be broadly c..."
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