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£125.13
Springer Advances in Deep Learning: 57 - Studies in Big Data
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Description
Key Features
Covers both basic and advanced concepts in deep network models to build a strong foundation in neural architectures.
Explains state-of-the-art deep architectures designed to address the limitations found in traditional artificial neural networks.
Provides detailed discussions on various deep architecture models and their specific components for technical clarity.
Includes practical illustrations of models through the use of algorithms and selected real-world applications.
Details the transfer learning approach to help achieve faster training times for complex deep models.
Demonstrates practical applications using large volumes of fingerprint and face image datasets.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 9811367930
- Domain
- Amazon UK
- Release Date
- 25 March 2019
- Listed Since
- 24 January 2019
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