DeepNetts will be presented at Java One 2017 at session "Deep Learning and Image Recognition for Java Developers" by Zoran Sevarac. Session will present a tool for building image recognition solutions based on deep learning and the NetBeans platform. The tool can also be integrated with the NetBeans IDE to provide an out-of-the box deep learning solution for Java developers. The session is intended for developers interested in the development of Java applications that require advanced image recognition. Participants will get the basics of image recognition with deep learning and how to implement it in their Java applications.
DeepNetts will be presented at the IBM’s booth at Devoxx US, as a part of the demo for Visual Recognition API. Visual Recognition API is collaborative work of Java Champions Frank Greco and Zoran Sevarac with IBM’s cloud architect Sandhya Kapoor to create Java technology standard for Visual Recognition through the JCP. Visit IBM’s booth at Devoxx US to see the demo by Frank Greco.
Initial prototype of DeepNetts was presented at Java One 2016 at session "Deep Learning for Visual Object Recognition" by Zoran Sevarac. Session covered the basics of visual recognition using convolutional networks, followed by the basic demo which showed how all that looks in practice using DeepNetts. Room full of people, lots of questions and great discussion. Read more here
Artificial Intelligence and Java Performance discussion at jCrete.org about making Java No 1. development platform for artificial intelligence. What needs to be done, resolving performance and portability issues, ongoing projects by Zoran Sevarac Additional material along with benchmarks are available at githubMore related talks from jCrete