Name: Deep Learning at Scale: At the Intersection of Hardware, Software, and Data
SKU: 56940577
Price: 67.57 EUR
Availability: InStock
Author: Mall, Suneeta
ISBN: 9781098145286

portada Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Type

Physical Book

Author

Suneeta Mall

Publisher

O'Reilly Media

Language

English

Pages

400

Format

Paperback

ISBN13

9781098145286

Synopsis "Deep Learning at Scale: At the Intersection of Hardware, Software, and Data"

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale

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Deep Learning at Scale: At the Intersection of Hardware, Software, and Data - Mall, Suneeta

Synopsis "Deep Learning at Scale: At the Intersection of Hardware, Software, and Data"

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