Hands-On Deep Learning for Images with TensorFlow

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  • 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

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.

  • Discover image processing for machine vision
  • Build an effective image classification system using the power of CNNs
  • Leverage TensorFlow’s capabilities to perform efficient deep learning
Page Count 96
Course Length 2 hours 52 minutes
ISBN 9781789538670
Date Of Publication 30 Jul 2018


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). https://www.linkedin.com/in/will-ballard-b09115/