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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781803243795

Length 516 pages

Edition 1st Edition

Languages

Python

Tools

BERT

Concepts

Deep Learning

Author (1):

Ee Kin Chin

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Table of Contents (25) Chapters

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

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24. Other Books You May Enjoy

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Table of Contents (25) Chapters

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