Deep learning systems : algorithms, compilers, and processors for large-scale production / Andres Rodriguez.
Material type:
TextSeries: Synthesis lectures on computer architecturePublisher: Cham, Switzerland : Morgan & Claypool, 2021Description: xx, 245 pages : color illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9781681739663
- 006.31 R618d 23
- Q325.5
Contents:
Introduction -- Building blocks -- Models and applications -- Training a Model -- Distributed training -- Reducing the model size -- Hardware -- Compiler Optimizations -- Frameworks and compilers -- Opportunities and challenges.
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
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Main Library | Graduate School Library | GRD 006.31 R618d 2021 (Browse shelf(Opens below)) | 1-1 | Available | 026348 |
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| GRD 006.31 C420a 2023 Adversarial robustness for machine learning / | GRD 006.31 C420a 2023 Adversarial robustness for machine learning / | GRD 006.31 H877m 2021 Machine learning for economics and finance in TensorFlow 2 : deep learning models for research and industry / | GRD 006.31 R618d 2021 Deep learning systems : algorithms, compilers, and processors for large-scale production / | GRD 006.31 Y3m 2022 Modern deep learning design and application development : versatile tools to solve deep learning problems / | GRD 006.6 K634d 2019 Data visualisation : a handbook for data driven design / | GRD 006.74 D714l 2022 Learn enough HTML, CSS and layout to be dangerous : an introduction to modern website creation and templating systems / |
Includes bibliographical references.
Introduction -- Building blocks -- Models and applications -- Training a Model -- Distributed training -- Reducing the model size -- Hardware -- Compiler Optimizations -- Frameworks and compilers -- Opportunities and challenges.
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