Design Patterns of Deep Learning with TensorFlow: Building a customer hyper-personalisation ecosystem using deep learning design patterns (English Edi
暫譯: 深度學習設計模式與 TensorFlow:利用深度學習設計模式建立客戶超個性化生態系統
V. Joseph, Thomas
- 出版商: BPB Publications
- 出版日期: 2024-06-06
- 售價: $1,720
- 貴賓價: 9.5 折 $1,634
- 語言: 英文
- 頁數: 376
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9355516495
- ISBN-13: 9789355516497
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相關分類:
DeepLearning、TensorFlow、Large language model
海外代購書籍(需單獨結帳)
商品描述
Architecting AI: Design patterns for building deep learning products
KEY FEATURES
● Master foundational concepts in design patterns of deep learning.
● Benefit from practical insights shared by an industry professional.
● Learn to build data products using deep learning.
DESCRIPTION
Design Patterns of Deep Learning with TensorFlow is your comprehensive guide to learning deep learning from a design pattern perspective. In this book, we explore deep learning within the context of building hyper-personalization models, exploring its applications across various industries and scenarios. It starts by showing how deep learning enhances retail through customer segmentation and data analysis. You will learn neural networks, computer vision with CNNs, and NLP for analyzing customer behavior. This book addresses challenges like uneven data and optimizing models with techniques like backpropagation, hyperparameter tuning, and transfer learning. Finally, it covers setting up data pipelines and deploying your system. With practical tips and actionable advice, this book equips readers with the skills and strategies needed to thrive in today's competitive AI landscape.
By the end of this book, you will be equipped with the knowledge and practical skills to build and deploy deep learning-powered hyper-personalization systems that deliver exceptional customer experiences.
WHAT YOU WILL LEARN
● Understand about hyper-personalized AI models for tailored user experiences.
● Design principles of computer vision and NLP models.
● Inner working of transformers equipping readers to understand the intricacies of generative AI and large language models (LLMs) like ChatGPT.
● To get the best out of deep learning models through hyperparameter tuning and transfer learning.
● Learn how to build deployment pipelines to serve models into production environments seamlessly.
WHO THIS BOOK IS FOR
This book caters to both beginners and experienced practitioners in the field of data science and Machine Learning. Through practical examples, it simplifies complex ideas, linking them to design patterns.
商品描述(中文翻譯)
架構人工智慧:建立深度學習產品的設計模式
主要特色
● 精通深度學習設計模式的基礎概念。
● 獲得業界專業人士分享的實用見解。
● 學習如何使用深度學習構建數據產品。
描述
《使用 TensorFlow 的深度學習設計模式》是您從設計模式的角度學習深度學習的全面指南。在本書中,我們探討了在構建超個性化模型的背景下的深度學習,並探索其在各行各業和場景中的應用。書中首先展示了深度學習如何通過客戶細分和數據分析來提升零售業。您將學習神經網絡、使用 CNN 的計算機視覺以及用於分析客戶行為的自然語言處理 (NLP)。本書解決了不均勻數據等挑戰,並使用反向傳播、超參數調整和遷移學習等技術來優化模型。最後,書中涵蓋了設置數據管道和部署系統的內容。通過實用的提示和可行的建議,本書使讀者具備在當今競爭激烈的人工智慧環境中蓬勃發展所需的技能和策略。
在本書結束時,您將具備構建和部署深度學習驅動的超個性化系統的知識和實用技能,從而提供卓越的客戶體驗。
您將學到什麼
● 了解針對量身定制用戶體驗的超個性化人工智慧模型。
● 計算機視覺和自然語言處理模型的設計原則。
● 變壓器的內部運作,使讀者能夠理解生成式人工智慧和大型語言模型 (LLMs) 的複雜性,例如 ChatGPT。
● 通過超參數調整和遷移學習充分發揮深度學習模型的潛力。
● 學習如何構建部署管道,無縫地將模型服務於生產環境。
本書適合誰
本書適合數據科學和機器學習領域的初學者和經驗豐富的從業者。通過實用的例子,它簡化了複雜的概念,並將其與設計模式聯繫起來。