Java Machine Learning for Computer Vision [Video]

Java Machine Learning for Computer Vision [Video]

Klevis Ramo

Learn machine learning by building advanced Java Computer Vision applications. Get hands-on with ML, ranging from handwriting recognition to self-driving cars
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Video Details

ISBN 13 9781789130652
Course Length 5 hours 6 minutes

Table of Contents

Video Description

 Although Machine Learning is an exciting world to explore, you may feel confused by all the theory and math out there. As a Java developer, you are used to telling the computer exactly what to do instead of being shown how data is generated; this makes many developers struggle to adapt to this new world of Machine Learning.

The goal of this course is to walk you through the process of efficiently training Deep Neural Networks for Computer Vision using the most modern techniques. The course is designed to get you familiar with Deep Neural Networks in order to be able to train them efficiently, customize existing state-of-the-art architectures, build real world Java applications, and get great results in a short time. You will build real-world Computer Vision applications, ranging from simple Java handwritten digit recognition to real-time Java autonomous car driving systems and face recognition.

By the end of the course you will have mastered the best practices and most modern techniques to build advanced Computer Vision Java applications and achieve production-grade accuracy.

The code bundle for this video course is available at: https://github.com/PacktPublishing/Java-Machine-Learning-for-Computer-Vision

Style and Approach

This course will teach you how to build advanced Machine Learning applications with intuitive and detailed explanations of topics, with no math background requirements. It adopts a practical approach by applying the theory to build real-world Java applications using modern practices and techniques in the Computer Vision world.

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What You Will Learn

  • Discover how Neural Networks work and understand the limitations and challenges developers face nowadays.
  • Best practice methods and parameters and how to build Deep Neural Networks
  • Hands-on real Java applications for image classification, real-time video object detection, face recognition, and art generation.
  • Explore some of the most used Machine Learning Java frameworks. 
  • Utilize your newly acquired Machine Learning skills to help you delve into the world of data science.

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Table of Contents

Video Details

ISBN 139781789130652
Course Length5 hours 6 minutes
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