Hands-On Deep Learning for Images with TensorFlow

Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras9781789538670

Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras
by 作者: Will Ballard
ISBN-10 书号: 178953867X
ISBN-13 书号: 9781789538670
Publisher Finelybook 出版日期: 2018-07-31
Pages: 96


Book Description
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.
Contents
1: MACHINE LEARNING TOOLKIT
2: IMAGE DATA
3: CLASSICAL NEURAL NETWORK
4: A CONVOLUTIONAL NEURAL NETWORK
5: AN IMAGE CLASSIFICATION SERVER

What you will learn
Build machine learning models particularly focused on the MNIST digits
Work with Docker and Keras to build an image classifier
Understand natural language models to process text and images
Prepare your dataset for machine learning
Create classical,convolutional,and deep neural networks
Create a RESTful image classification server
Authors
Will Ballard
Will Ballard is the chief technology officer at GLG,responsible for engineering and IT. He was also responsible for the design and operation of large data centers that helped run site services for customers including Gannett,Hearst Magazines,NFL,NPR,The Washington Post,and Whole Foods. He has also held leadership roles in software development at NetSolve (now Cisco),NetSpend,and Works (now Bank of America).

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