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The Deep Learning Architect's Handbook

You're reading from   The Deep Learning Architect's Handbook Build and deploy production-ready DL solutions leveraging the latest Python techniques

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781803243795
Length 516 pages
Edition 1st Edition
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Author (1):
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Ee Kin Chin Ee Kin Chin
Author Profile Icon Ee Kin Chin
Ee Kin Chin
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Table of Contents (25) Chapters Close

Preface 1. Part 1 – Foundational Methods
2. Chapter 1: Deep Learning Life Cycle FREE CHAPTER 3. Chapter 2: Designing Deep Learning Architectures 4. Chapter 3: Understanding Convolutional Neural Networks 5. Chapter 4: Understanding Recurrent Neural Networks 6. Chapter 5: Understanding Autoencoders 7. Chapter 6: Understanding Neural Network Transformers 8. Chapter 7: Deep Neural Architecture Search 9. Chapter 8: Exploring Supervised Deep Learning 10. Chapter 9: Exploring Unsupervised Deep Learning 11. Part 2 – Multimodal Model Insights
12. Chapter 10: Exploring Model Evaluation Methods 13. Chapter 11: Explaining Neural Network Predictions 14. Chapter 12: Interpreting Neural Networks 15. Chapter 13: Exploring Bias and Fairness 16. Chapter 14: Analyzing Adversarial Performance 17. Part 3 – DLOps
18. Chapter 15: Deploying Deep Learning Models to Production 19. Chapter 16: Governing Deep Learning Models 20. Chapter 17: Managing Drift Effectively in a Dynamic Environment 21. Chapter 18: Exploring the DataRobot AI Platform 22. Chapter 19: Architecting LLM Solutions 23. Index 24. Other Books You May Enjoy

Choosing the right DL model deployment options

Selecting the right deployment options for your DL model is a crucial step in ensuring optimal performance, scalability, and cost-effectiveness. To assist you in making an informed decision, we will explore recommended options based on different requirements. These recommendations encompass various aspects, such as hardware and physical infrastructure, monitoring and logging components, and deployment strategies. By carefully evaluating your model’s characteristics, resource constraints, and desired outcomes, you should be able to identify the most suitable deployment solution that aligns with your objectives while maximizing efficiency and return on investment through this guide. The tangible deployment components we will explore here are architectural decisions, computing hardware, model packaging and frameworks, communication protocols, and user interfaces. Let’s dive into each component one by one, starting with architectural...

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