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£91.03
Springer - Interpretability in Deep Learning Book
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Description
Key Features
Covers recent research tools for the interpretability of deep learning models with a focus on neural network architectures.
Includes practical case studies from application-oriented articles in computer vision and optics.
Serves as a comprehensive monograph for those studying the most recent topics in machine learning.
Functions as a detailed textbook suitable for graduate students in technical fields.
Provides systematic information for scientists involved in research, development, and application.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 303120638X
- Domain
- Amazon UK
- Release Date
- 01 May 2023
- Listed Since
- 27 September 2022
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