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Lessons learned using Machine Learning in Java By Jago de Vreede
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In this talk, I will share my journey of using machine learning in Java to build a visual recognition system that can identify Lego blocks. As a Java developer, I wanted to use Java for this project rather than Python, which is more commonly used for machine learning projects. I will explain the basics of machine learning and give an overview of the current Java libraries for machine learning and transferring pre-trained models. I will demonstrate how to train and modify existing models using transfer learning. The goal of the project is to create a Java solution that can identify the top 1000 most popular Lego bricks. I will explain all of this without using any complex mathematical formulas, making it accessible to those with no prior knowledge of machine learning.
JAGO DE VREEDE
Jago is a full-stack software engineer at OpenValue, as a software engineer he has seen a broad-spectrum of projects. He also likes to take Java to the extreme and do things with are normally not done with Java, like playing an automated guitar. He is passionate about his work and likes to share his knowledge and has therefore spoken at conferences worldwide.
JAGO DE VREEDE
Jago is a full-stack software engineer at OpenValue, as a software engineer he has seen a broad-spectrum of projects. He also likes to take Java to the extreme and do things with are normally not done with Java, like playing an automated guitar. He is passionate about his work and likes to share his knowledge and has therefore spoken at conferences worldwide.
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