Engineering Deep Learning Systems
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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.Get Engineering Deep Learning Systems by Chi Wang, Donald Szeto at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Manning Publications and it has 325 pages.
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