Hands-On Java Deep Learning for Computer Vision

Klevis Ramo

Informasi Dasar

20.01.764
005.262
Buku - Circulation (Dapat Dipinjam)

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 course 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.

Subjek

JAVA
 

Katalog

Hands-On Java Deep Learning for Computer Vision
978-1-78961-396-4
244p.: ill.; 25,5 cm
Inggris

Sirkulasi

Rp. 0
Rp. 1.000
Ya

Pengarang

Klevis Ramo
Perorangan
 
 

Penerbit

Packt Publishing
Birmingham
2019

Koleksi

Kompetensi

  • TKI4O3 - DESAIN LSI
  • TTI3G2 - PEMROGRAMAN BERBASIS OBJEK (JAVA)

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