Production-Ready Applied Deep Learning
While there are many books on various deep learning models, it is difficult to find a book about serving the models at scale. In this book, you will learn how to quickly build working models, convert them into production-ready applications supporting various deployment environments, and distribute them at scale in the most efficient way.
Offered by
Difficulty Level
Intermediate
Completion Time
10h44m
Language
English
About Book
Who Is This Book For?
Machine learning engineers, deep learning specialists, and data scientists will find this book helpful in closing the gap between the theory and application with detailed examples. Beginner-level knowledge in machine learning or software engineering will help you grasp the concepts covered in this book easily.
Production-Ready Applied Deep Learning
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h44m total length
Effective Planning of Deep Learning-Driven Projects
Data Preparation for Deep Learning Projects
Developing a Powerful Deep Learning Model
Experiment Tracking, Model Management, and Dataset Versioning
Data Preparation in the Cloud
Efficient Model Training
Revealing the Secret of Deep Learning Models
Simplifying Deep Learning Model Deployment
Scaling a Deep Learning Pipeline
Improving Inference Efficiency
Deep Learning on Mobile Devices
Monitoring Deep Learning Endpoints in Production
Reviewing the Completed Deep Learning Project
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