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Production-Ready Applied Deep Learning

You're reading from   Production-Ready Applied Deep Learning Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803243665
Length 322 pages
Edition 1st Edition
Tools
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Authors (3):
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Lenin Mookiah Lenin Mookiah
Author Profile Icon Lenin Mookiah
Lenin Mookiah
Tomasz Palczewski Tomasz Palczewski
Author Profile Icon Tomasz Palczewski
Tomasz Palczewski
Jaejun (Brandon) Lee Jaejun (Brandon) Lee
Author Profile Icon Jaejun (Brandon) Lee
Jaejun (Brandon) Lee
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1 – Building a Minimum Viable Product
2. Chapter 1: Effective Planning of Deep Learning-Driven Projects FREE CHAPTER 3. Chapter 2: Data Preparation for Deep Learning Projects 4. Chapter 3: Developing a Powerful Deep Learning Model 5. Chapter 4: Experiment Tracking, Model Management, and Dataset Versioning 6. Part 2 – Building a Fully Featured Product
7. Chapter 5: Data Preparation in the Cloud 8. Chapter 6: Efficient Model Training 9. Chapter 7: Revealing the Secret of Deep Learning Models 10. Part 3 – Deployment and Maintenance
11. Chapter 8: Simplifying Deep Learning Model Deployment 12. Chapter 9: Scaling a Deep Learning Pipeline 13. Chapter 10: Improving Inference Efficiency 14. Chapter 11: Deep Learning on Mobile Devices 15. Chapter 12: Monitoring Deep Learning Endpoints in Production 16. Chapter 13: Reviewing the Completed Deep Learning Project 17. Index 18. Other Books You May Enjoy

Preparing DL models for mobile devices

Mobile devices have reshaped how we carry out our daily lives by enabling easy access to the internet; many of our daily tasks heavily depend on mobile devices. Hence, if we can deploy DL models on mobile apps, we should be able to achieve the next level of convenience. Popular use cases include translation among different languages, object detection, and digit recognition, to name a few.

The following screenshots provide some example use cases:

Figure 11.1 – From left to right, the listed apps handle plant identification, object detection, and machine translation, exploiting the flexibility of DL

There exist many operating systems (OSs) for mobile devices. However, two OSs are dominating the mobile market currently: iOS and Android. iOS is the OS for devices from Apple, such as iPhone and iPad. Similarly, Android is the standard OS for devices produced by companies such as—for example—Samsung...

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