Generative models

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Generative models are a promising approach to develop algorithms that endow computers with an understanding of the world by training them to generate data like the data they are trained on

intermediate Published 16 Jun 2016
Action Steps
  1. Collect a large amount of data in a domain
  2. Train a generative model to generate data like the training data
  3. Use the model to discover and internalize the essence of the data
  4. Apply the model to various applications such as generating images or text
Who Needs to Know This

Data scientists and AI engineers on a team can benefit from understanding generative models as they can be used to analyze and understand large amounts of data, and product managers can use them to develop new applications

Key Insight

💡 Generative models can automatically learn the natural features of a dataset, whether categories or dimensions or something else entirely

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💡 Generative models can help computers understand the world by generating data like the data they're trained on #AI #MachineLearning
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