Packt Publishing (July 31, 2018) | ISBN: 178953867X | 96 pages | EPUB
Explore TensorFlow's capabilities to perform efficient deep learning on images
Key Features
- 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
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.
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
Table of Contents
- Machine Learning Toolkit
- Image Data
- Classic Neural Network
- Convulutional Neural Network
- Image Classification Server