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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

Summary

You have reached the final phase of your DL project. In this chapter, we described the steps you need to follow to wrap up the project. We first described how to apply PIR to evaluate the project and understand the potential improvements. In this phase, you also need to make sure the artifacts generated from the project are organized and thoroughly documented so that they can be reused for the next project. Lastly, we would like to mention that celebration is another key component of a DL project. All the stakeholders have put in their efforts to carry out the project. You must spend some time thanking all the team members and applauding their achievements.

Throughout this book, you have learned how to carry out a DL project at a high standard. Starting from the basic concepts in DL, we have described each phase of a DL project thoroughly, along with various tools you can use to carry out the task at hand efficiently. The book emphasizes scalability and explains how you...

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