TensorFlow Developer Certificate Guide: Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam

Achieve TensorFlow certification with this comprehensive guide covering all exam topics using a hands-on, step-by-step approach-perfect for aspiring TensorFlow developers

Key Features:

• Build real-world computer vision, natural language, and time series applications
• Learn how to overcome issues such as overfitting with techniques such as data augmentation
• Master transfer learning-what it is and how to build applications with pre-trained models
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

The TensorFlow Developer Certificate Guide is an indispensable resource for machine learning enthusiasts and data professionals seeking to master TensorFlow and validate their skills by earning the certification. This practical guide equips you with the skills and knowledge necessary to build robust deep learning models that effectively tackle real-world challenges across diverse industries.

You'll embark on a journey of skill acquisition through easy-to-follow, step-by-step explanations and practical examples, mastering the craft of building sophisticated models using TensorFlow 2.x and overcoming common hurdles such as overfitting and data augmentation. With this book, you'll discover a wide range of practical applications, including computer vision, natural language processing, and time series prediction.

To prepare you for the TensorFlow Developer Certificate exam, it offers comprehensive coverage of exam topics, including image classification, natural language processing (NLP), and time series analysis. With the TensorFlow certification, you'll be primed to tackle a broad spectrum of business problems and advance your career in the exciting field of machine learning. Whether you are a novice or an experienced developer, this guide will propel you to achieve your aspirations and become a highly skilled TensorFlow professional.

What You Will Learn:

• Prepare for success in the TensorFlow Developer Certification exam
• Master regression and classification modelling with TensorFlow 2.x
• Build, train, evaluate, and fine-tune deep learning models
• Combat overfitting using techniques such as dropout and data augmentation
• Classify images, encompassing preprocessing and image data augmentation
• Apply TensorFlow for NLP tasks like text classification and generation
• Predict time series data, such as stock prices
• Explore real-world case studies and engage in hands-on exercises

Who this book is for:

This book is for machine learning and data science enthusiasts, as well as data professionals aiming to demonstrate their expertise in building deep learning applications with TensorFlow. Through a comprehensive hands-on approach, this book covers all the essential exam prerequisites to equip you with the skills needed to excel as a TensorFlow developer and advance your career in machine learning. A fundamental grasp of Python programming is the only prerequisite.

使用這本全面指南，以實踐、逐步的方式，成為一名有抱負的TensorFlow開發者，並通過TensorFlow認證。

主要特點：
- 構建真實世界的計算機視覺、自然語言和時間序列應用程式
- 學習如何通過數據擴增等技術克服過度擬合等問題
- 掌握遷移學習，以及如何使用預訓練模型構建應用程式
- 購買印刷版或Kindle電子書，即可獲得免費PDF電子書

書籍描述：
《TensorFlow開發者認證指南》是機器學習愛好者和數據專業人士的必備資源，旨在通過TensorFlow認證來掌握TensorFlow並驗證自己的技能。這本實用指南將為您提供構建強大的深度學習模型所需的技能和知識，以有效應對不同行業中的現實挑戰。

通過易於理解的逐步解釋和實際示例，您將踏上技能獲取之旅，掌握使用TensorFlow 2.x構建複雜模型的技巧，並克服過度擬合和數據擴增等常見障礙。通過這本書，您將發現各種實際應用，包括計算機視覺、自然語言處理和時間序列預測。

為了幫助您準備TensorFlow開發者認證考試，本書全面涵蓋了考試主題，包括圖像分類、自然語言處理（NLP）和時間序列分析。通過TensorFlow認證，您將能夠應對各種商業問題，並在機器學習這個令人興奮的領域中推進自己的職業生涯。無論您是初學者還是有經驗的開發者，本指南都將助您實現抱負，成為一名高技能的TensorFlow專業人士。

學到什麼：
- 為TensorFlow開發者認證考試做好準備
- 掌握TensorFlow 2.x的回歸和分類建模
- 構建、訓練、評估和微調深度學習模型
- 使用dropout和數據擴增等技術對抗過度擬合
- 對圖像進行分類，包括預處理和圖像數據擴增
- 應用TensorFlow進行NLP任務，如文本分類和生成
- 預測時間序列數據，如股票價格
- 探索真實案例研究並參與實踐練習

適合對象：
本書適合機器學習和數據科學愛好者，以及希望通過TensorFlow構建深度學習應用程式並展示自己專業知識的數據專業人士。通過全面的實踐方法，本書涵蓋了所有必要的考試先決條件，使您具備成為TensorFlow開發者並在機器學習領域中推進職業生涯所需的技能。唯一的先決條件是對Python編程有基本的理解。