Engineering Deep Learning Systems
Häftad, Engelska, 2023
589 kr
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Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models.
In Engineering Deep Learning Systems you will learn how to:
In Engineering Deep Learning Systems you will learn how to:
- Transfer your software development skills to deep learning systems
- Recognize and solve common engineering challenges for deep learning systems
- Understand the deep learning development cycle
- Automate training for models in TensorFlow and PyTorch
- Optimize dataset management, training, model serving and hyperparameter tuning
- Pick the right open-source project for your platform
about the technology
Behind every deep learning researcher is a team of engineers bringing their models to production. To build these systems, you need to understand how a deep learning system's platform differs from other distributed systems. By mastering the core ideas in this book, you'll be able to support deep learning systems in a way that's fast, repeatable, and reliable.Produktinformation
- Utgivningsdatum2023-07-06
- Mått187 x 238 x 2 mm
- Vikt660 g
- FormatHäftad
- SpråkEngelska
- Antal sidor325
- Upplaga1
- FörlagPearson Education
- ISBN9781633439863