February 2019
Intermediate to advanced
260 pages
6h 3m
English
Overview
Explore the world of machine learning and deep learning with 'Hands-On Java Deep Learning for Computer Vision.' This book will guide you through creating and customizing neural networks in Java to solve challenging computer vision tasks. By the end, you'll have the expertise to build robust applications like image classifiers and even real-time object detection systems.
What this Book will help me do
- Master the concept of neural networks and their implementation in Java.
- Learn to leverage popular Java frameworks for building deep learning applications.
- Develop applications that perform tasks like image classification and face recognition.
- Implement and optimize deep learning solutions for real-time performance.
- Deploy deep learning models for production-grade applications.
Author(s)
None Ramo is an experienced Java developer and machine learning enthusiast who specializes in blending these two domains to create practical solutions. With a passion for teaching, None has authored multiple tutorials and books aimed at making complex concepts accessible to engineers. Their hands-on approach ensures readers not only learn the theory but also gain the skills to implement real-world applications.
Who is it for?
If you're a data scientist, machine learning developer, or deep learning practitioner with a foundation in Java programming, this book is tailor-made for you. Ideal for those looking to delve into computer vision tasks or expand their knowledge of neural network implementations in Java. Suitable even if you're beginning with machine learning concepts but eager to see them applied.
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