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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
An Introduction to Image Classification: From Designed Models to End-To-End Learning

An Introduction to Image Classification: From Designed Models to End-To-End Learning

Toennies, Klaus D.

Hardcover

General ComputersProgramming

ISBN10: 9819978815
ISBN13: 9789819978816
Publisher: Springer
Published: Jan 25 2024
Pages: 290
Weight: 1.34
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English

Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with deep neural networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight.

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