Although machine learning is an exciting world to explore, you may feel confused by all of its theoretical aspects. As a Java developer, you will be used to telling the computer exactly what to do, instead of being shown how data is generated; this causes many developers to struggle to adapt to machine learning.
The goal of this book is to walk you through the process of efficiently training machine learning and deep learning models for Computer Vision using the most up-to-date techniques. The book is designed to familiarize you with neural networks, enabling you to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and get great results in a short space of time. You will build real-world Computer Vision applications, ranging from a simple Java handwritten digit recognition model to real-time Java autonomous car driving systems and face recognition models.
By the end of this book, you will have mastered the best practices and modern techniques needed to build advanced Computer Vision Java applications and achieve production-grade accuracy.
publication date
2019-02-21
what you will learn
Discover neural networks and their applications in Computer Vision
Explore the popular Java frameworks and libraries for deep learning
Build deep neural networks in Java
Implement an end-to-end image classification application in Java
Perform real-time video object detection using deep learning
Enhance performance and deploy applications for production
key features
Build real-world Computer Vision applications using the power of neural networks * Implement image classification, object detection, and face recognition * Know best practices on effectively building and deploying deep learning models in Java
approach
This book will teach you how to build advanced Machine Learning applications with intuitive and detailed explanations of topics. It requires no mathematical background knowledge. It adopts a practical approach; exercises and examples show you how to build real-world Java applications using modern practices and techniques in the Computer Vision world.
audience
This book is for data scientists, machine learning developers and deep learning practitioners with Java knowledge who want to implement machine learning and deep neural networks in the computer vision domain. You will need to have a basic knowledge of Java programming.
short description
This book will take you through the process of efficiently training deep neural networks in Java for Computer Vision-related tasks. You will build real-world applications ranging from simple Java handwritten digit recognition models to real-time autonomous car driving systems and face recognition models using the popular Java-based libraries.
subtitle
Implement machine learning and neural network methodologies to perform computer vision-related tasks
keywords
Machine Learning, Java, Computer Vision, Neural Networks, Digit Recognizer, CNN, Image Classification, Neural Style Transfer
Product ISBN
9781789613964
