This book is for application developers, data scientists, and machine learning practitioners looking to integrate machine learning into application software and master deep learning by implementing practical projects in TensorFlow. Knowledge of Python programming and the basics of deep learning is required to get the most out of this book.
Hands-On Deep Learning for Images with TensorFlow
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Hands-On Deep Learning for Images with TensorFlow
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Overview of this book
TensorFlow is Google’s popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks.
Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow’s capabilities to perform efficient image processing using the power of deep learning. With the help of this book, you will get to grips with the different paradigms of performing deep learning such as deep neural nets and convolutional neural networks, followed by understanding how they can be implemented using TensorFlow.
By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow and Keras.
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Current Title:
Hands-On Deep Learning for Images with TensorFlow
Table of Contents (7 chapters)
Preface
Free Chapter
Machine Learning Toolkit
Image Data
Classical Neural Network
A Convolutional Neural Network
An Image Classification Server
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