Beginning Python 3 with Claude 3 by Oswald Campesato

Author:Oswald Campesato
Language: eng
Format: epub, pdf
ISBN: 9781501523939
Publisher: Mercury Learning and Information
Published: 2024-12-23T00:00:00+00:00

Key Components:

Score Function: Gradient of the data density used for refinement.

Applications: Image generation, data imputation.

Example: Using score-based methods to generate photo-realistic images from noise.

8. Flow-Based Models

Description: Flow-based models use a series of invertible transformations to map a simple distribution to a complex data distribution. These models provide exact log-likelihood computation and efficient sampling.

Key Components:

Invertible Transformations: Series of transformations that map simple distributions to complex distributions.

Applications: Density estimation, image generation.

Example: RealNVP and Glow models for generating high-fidelity images.

9. Transformer-Based Models

Description: Transformer models use self-attention mechanisms to process input data and generate new data. They are particularly effective for sequential data.

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