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Hands-On Neural Networks with TensorFlow 2.0

You're reading from   Hands-On Neural Networks with TensorFlow 2.0 Understand TensorFlow, from static graph to eager execution, and design neural networks

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781789615555
Length 358 pages
Edition 1st Edition
Languages
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Author (1):
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Paolo Galeone Paolo Galeone
Author Profile Icon Paolo Galeone
Paolo Galeone
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Neural Network Fundamentals
2. What is Machine Learning? FREE CHAPTER 3. Neural Networks and Deep Learning 4. Section 2: TensorFlow Fundamentals
5. TensorFlow Graph Architecture 6. TensorFlow 2.0 Architecture 7. Efficient Data Input Pipelines and Estimator API 8. Section 3: The Application of Neural Networks
9. Image Classification Using TensorFlow Hub 10. Introduction to Object Detection 11. Semantic Segmentation and Custom Dataset Builder 12. Generative Adversarial Networks 13. Bringing a Model to Production 14. Other Books You May Enjoy

What is Machine Learning?

Machine learning (ML) is an artificial intelligence branch where we define algorithms, with the aim of learning about a model that describes and extracts meaningful information from data.

Exciting applications of ML can be found in fields such as predictive maintenance in industrial environments, image analysis for medical applications, time series forecasting for finance and many other sectors, face detection and identification for security purposes, autonomous driving, text comprehension, speech recognition, recommendation systems, and many other applications of ML are countless, and we probably use them daily without even knowing it!

Just think about the camera application on your smartphone— when you open the app and you point the camera toward a person, you see a square around the person's face. How is this possible? For a computer, an...

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Hands-On Neural Networks with TensorFlow 2.0
Published in: Sep 2019
Publisher: Packt
ISBN-13: 9781789615555
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