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TensorFlow Developer Certificate Guide

You're reading from   TensorFlow Developer Certificate Guide Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803240138
Length 344 pages
Edition 1st Edition
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Author (1):
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Oluwole Fagbohun Oluwole Fagbohun
Author Profile Icon Oluwole Fagbohun
Oluwole Fagbohun
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1 – Introduction to TensorFlow
2. Chapter 1: Introduction to Machine Learning FREE CHAPTER 3. Chapter 2: Introduction to TensorFlow 4. Chapter 3: Linear Regression with TensorFlow 5. Chapter 4: Classification with TensorFlow 6. Part 2 – Image Classification with TensorFlow
7. Chapter 5: Image Classification with Neural Networks 8. Chapter 6: Improving the Model 9. Chapter 7: Image Classification with Convolutional Neural Networks 10. Chapter 8: Handling Overfitting 11. Chapter 9: Transfer Learning 12. Part 3 – Natural Language Processing with TensorFlow
13. Chapter 10: Introduction to Natural Language Processing 14. Chapter 11: NLP with TensorFlow 15. Part 4 – Time Series with TensorFlow
16. Chapter 12: Introduction to Time Series, Sequences, and Predictions 17. Chapter 13: Time Series, Sequences, and Prediction with TensorFlow 18. Index 19. Other Books You May Enjoy

What is TensorFlow?

In the last chapter, we examined the different types of applications we could build with our knowledge of machine learning (ML), from chatbots to facial recognition systems and from house price prediction to detecting fraud in the banking industry – these are some of the exciting applications we can build using deep learning frameworks such as TensorFlow. The question we would logically ask is what exactly is TensorFlow? And why should we learn it at all?

TensorFlow is an open source end-to-end framework for building deep learning applications. It was developed by a team of data professionals at Google in 2011 and made openly available in 2015. TensorFlow is a flexible, scalable solution that enables us to build models with ease using the Keras API. It allows us to access a large array of pretrained deep learning models, thus making it the framework of choice for many data professionals in the industry and academia. Currently, TensorFlow is used at powerhouses...

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