auserj/java-machine-learning-for-computer-vision

Java Machine Learning for Computer Vision [Video], Published By Packt

Java Machine Learning for Computer Vision [Video]

This is the code repository for Java Machine Learning for Computer Vision [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

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 through the process of becoming 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 short time. You will go through building 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 discover the best practices and most modern techniques to build advanced computer vision java applications and get production grade accuracy.

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.

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
● Machine Learning beginner level

● Intermediate Java and programming knowledge

● No prior heavy math knowledge

● Familiarity with Git and GitHub for source control

● Familiar with maven building tool and Java IDE

Technical Requirements

This course has the following software requirements:
This course has the following software requirements:

• Java 1.8

• Maven 3.x

• InteliJ or Eclipse

• Windows 10

• Good Hardware(RAM 8GB, CPU core i7)

This course has been tested on the following system configuration:

● OS: Windows 10

● Processor: Intel core i7

● JAVA 8

● Memory: 8-12-16GB

● Hard Disk Space: 100GB

● Video Card: Simple

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