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Hands-On Java Deep Learning for Computer Vision. Implement machine learning and neural network methodologies to perform computer vision-related tasks Klevis Ramo

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Hands-On Java Deep Learning for Computer Vision. Implement machine learning and neural network methodologies to perform computer vision-related tasks Klevis Ramo - okladka książki

Hands-On Java Deep Learning for Computer Vision. Implement machine learning and neural network methodologies to perform computer vision-related tasks Klevis Ramo - okladka książki

Autor:
Klevis Ramo
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
260
Dostępne formaty:
     PDF
     ePub
     Mobi

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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.

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O autorze książki

Klevis Ramo is a highly motivated software engineer with a solid educational background who loves writing. He aims to create stable and creative solutions with performance in mind. Klevis is passionate about coding and machine learning with several open source contributions and is experienced at developing web services and REST API. He is always eager to learn new technologies and to improve system performance and scalability.

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