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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. Engineering Deep Learning Systems is a practical guide for software engineers and data scientists who are designing and building platforms for deep learning. It’s full of hands-on examples that will help you transfer your software development skills to implementing deep learning platforms.
In Engineering Deep Learning Systems, you’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a deep learning engineer.
Introduction to deep learning systems
A hello world deep learning system
Deep learning system design
Dataset management service
Model training service
Distributed training
Hyper parameter optimization service
Prediction service
Metadata and artifact store
Workflow management
Experimentation
Model explanation and monitoring