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

Oluwole Fagbohun

Softcover

ISBN 10: 180324013X ISBN 13: 9781803240138

Publisher: Packt Publishing, 2023

Synopsis

Ace the TensorFlow Developer Certificate exam with this comprehensive guide. Learn key TensorFlow concepts and techniques, including data loading and visualization, neural networks, and machine learning. Perfect for aspiring TensorFlow developers.

Key Features

• Data Representation and manipulation with Tensorflow
• Be able to build, compile and train a regression model with Tensorflow
• Be able to build, compile and train a classification model with Tensorflow

Book Description

Tensorflow enables ML practitioners to build Deep learning models use to solve complex task across various industries. With Tensorflow Practitioners can easily build and train ML models using Keras API. Tensorflow is used by Twitter, Intel, Google, Airbnb amongst others in solving business problems.

Learning Tensorflow gives you the requisite skills and know how required to build complex deep learning models used in solving small, medium, and large-scale problems in various industries.

Complete with step-by-step explanations of the fundamentals of Tensorflow, image classification, natural language processing and time series analysis and prediction. This book provides practical examples and do it yourself exercises.

By the end of this book, readers should be confident enough to take up and ace their TensorFlow developer certificate exam and start building real world projects

What you will learn

• Image Classification with Tensorflow
• Natural Language Processing with Tensorflow
• Time series, sequences and predictions with Tensorflow

Who This Book Is For

This book is for ML practitioners and enthusiast studying for their Tensorflow Certified Developer Exams.

Table of Contents

1. Introduction to Machine Learning
2. Introduction to Tensorflow
3. Linear Regression with Tensorflow
4. Classification with Tensorflow
5. Image Classification with Neural Networks
6. Improving the model
7. Image Classification with Convolution Neural Networks
8. Handling Overfitting
9. Transfer Learning
10. Introduction to Natural Language Processing
11. Natural Language Processing with Tensorflow
12. Introduction to Time Series, Sequence and Prediction
13. Time Series, Sequence and Prediction with Tensorflow

About this title

About the Author

Oluwole Fagbohun is a Machine Learning Engineer (Lead) at Changeblock.

From the Back Cover

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.

Edition details

• Publisher: Packt Publishing
• Publication date: 2023
• Language: English
• ISBN 10: 180324013X
• ISBN 13: 9781803240138
• Binding: Paperback
• Number of pages: 315