TensorFlow Developer Certificate Guide
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TensorFlow Developer Certificate Guide
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Overview of this book
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.
Table of Contents (20 chapters)
Preface
Part 1 – Introduction to TensorFlow
Free Chapter
Chapter 1: Introduction to Machine Learning
Chapter 2: Introduction to TensorFlow
Chapter 3: Linear Regression with TensorFlow
Chapter 4: Classification with TensorFlow
Part 2 – Image Classification with TensorFlow
Chapter 5: Image Classification with Neural Networks
Chapter 6: Improving the Model
Chapter 7: Image Classification with Convolutional Neural Networks
Chapter 8: Handling Overfitting
Chapter 9: Transfer Learning
Part 3 – Natural Language Processing with TensorFlow
Chapter 10: Introduction to Natural Language Processing
Chapter 11: NLP with TensorFlow
Part 4 – Time Series with TensorFlow
Chapter 12: Introduction to Time Series, Sequences, and Predictions
Chapter 13: Time Series, Sequences, and Prediction with TensorFlow
Index
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