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Distributed Machine Learning Patterns MEAP V05 by Yuan Tang is a book available to read on EtoBox.
What is Distributed Machine Learning Patterns MEAP V05 about?
MEAP Version 5 Distributed Machine Learning Patterns MEAP V05 1 Copyright 2 welcome 3 brief contents 4 Chapter 1: Introduction to distributed machine learning systems 5 1.1 Large scale machine learning 6 1.1.1 The growing scale 6 1.1.2 What can we do? 7 1.2 Distributed system 9 1.2.1 What is it? 9 1.2.2 The complexity and patterns 10 1.3 Distributed machine learning system 11 1.3.1 What is it? 11 1.3.2 Are there similar patterns? 11 1.3.3 When should we use it? 13 1.3.4 When should we not use it? 14 1.3.5 What will we learn in this book? 14 1.4 References 15 1.5 Summary 16 Chapter 2: Data ingestion patterns 17 2.1 What is data ingestion? 18 2.1.1 The Fashion-MNIST dataset 19 2.2 Batching pattern: Performing expensive operations for Fashion-MNIST dataset with limited memory 23 2.2.1 Problem 23 2.2.2 Solution 24 2.2.3 Discussion 27 2.2.4 Exercises 28 2.3 Sharding pattern: Splitting extremely large dataset among multiple machines 28 2.3.1 Problem 30 2.3.2 Solution 30 2.3.3 Discussion 34 2.3.4 Exercises 36 2.4 Caching pattern: Re-accessing previously used data for efficient multi-epoch model training 36 2.4.1 Problem 38 2.4.2 Solution 38 2.4.3 Discussion 40 2.4.4 Exercises 42 2.5 Refer
- Author
- Yuan Tang
- Language
- EN
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