'0 0 1 ii' diaporamas de présentation

0 0 1 ii - PowerPoint PPT Presentation

Learning I

Learning I

Learning I. Linda Shapiro ECE/CSE 576 . Learning. AI/Vision systems are complex and may have many parameters. It is impractical and often impossible to encode all the knowledge a system needs. Different types of data may require very different parameters.

★ ★ ★ ★ ★

644 views • 64 slides
Learning I

Learning I

Learning I. Linda Shapiro CSE 455 . Learning. AI/Vision systems are complex and may have many parameters. It is impractical and often impossible to encode all the knowledge a system needs. Different types of data may require very different parameters.

★ ★ ★ ★ ★

899 views • 62 slides
Learning I

Learning I

Learning I. Linda Shapiro EE/CSE 576 . Learning. AI/Vision systems are complex and may have many parameters. It is impractical and often impossible to encode all the knowledge a system needs. Different types of data may require very different parameters.

★ ★ ★ ★ ★

621 views • 62 slides
Learning Chapter 18 and Parts of Chapter 20

Learning Chapter 18 and Parts of Chapter 20

Learning Chapter 18 and Parts of Chapter 20. AI systems are complex and may have many parameters. It is impractical and often impossible to encode all the knowledge a system needs. Different types of data may require very different parameters.

★ ★ ★ ★ ★

613 views • 61 slides
Learning Chapter 18 and Parts of Chapter 20

Learning Chapter 18 and Parts of Chapter 20

Learning Chapter 18 and Parts of Chapter 20. AI systems are complex and may have many parameters. It is impractical and often impossible to encode all the knowledge a system needs. Different types of data may require very different parameters.

★ ★ ★ ★ ★

616 views • 61 slides
Learning Chapter 18 and Parts of Chapter 20

Learning Chapter 18 and Parts of Chapter 20

Learning Chapter 18 and Parts of Chapter 20. AI systems are complex and may have many parameters. It is impractical and often impossible to encode all the knowledge a system needs. Different types of data may require very different parameters.

★ ★ ★ ★ ★

476 views • 47 slides
Information Gain

Information Gain

Information Gain. We want to determine which attribute in a given set of training feature vectors is most useful for discriminating between the classes to be learned. Information gain tells us how important a given attribute of the feature vectors is.

★ ★ ★ ★ ★

209 views • 8 slides

View 0 0 1 ii PowerPoint (PPT) presentations online in SlideServe. SlideServe has a very huge collection of 0 0 1 ii PowerPoint presentations. You can view or download 0 0 1 ii presentations for your school assignment or business presentation. Browse for the presentations on every topic that you want.