Book Image

TensorFlow Developer Certificate Guide

By : Oluwole Fagbohun
4 (2)
Book Image

TensorFlow Developer Certificate Guide

4 (2)
By: Oluwole Fagbohun

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)
1
Part 1 – Introduction to TensorFlow
6
Part 2 – Image Classification with TensorFlow
12
Part 3 – Natural Language Processing with TensorFlow
15
Part 4 – Time Series with TensorFlow

Salary prediction with TensorFlow

In this case study, you will assume the role of a new machine learning engineer at Tensor Limited, a rapidly growing start-up with over 200 employees. Now, the company wants to hire seven new employees, and the HR department is having a hard time coming up with the ideal salary based on varying qualifications, years of experience, the roles applied for, and the level of training of each of the potential new hires. Your job is to work with the HR unit to determine the optimal salary for each of these potential hires.

Luckily, we went through the machine learning life cycle in Chapter 1, Introduction to Machine Learning, built our hello world case study in Chapter 2, Introduction to TensorFlow, and have already covered some key evaluation metrics required for regression modeling in this chapter. So, you are well equipped theoretically to carry out the task. You have had a productive discussion with the HR manager, and now you have a better understanding...