Parking Lot Occupancy Detection using Deep Learning in Java

This video tutorial shows you how you can use Deep Netts to create visual parking lot occupancy detection using deep learning.The data set contains labeled images of vacant and occupied parking spaces, extracted from the camera under different light conditions.Occupancy detection is performed with a convolutional neural network in pure Java created with Deep …

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New Version of Deep Netts 1.2 Has Been Released

The new release of Deep Netts v1.2 brings several exciting new features and improvements: Higher Performance Better accuracy New optimization algorithms Improved KFold Crossvaldiation Minor bug fixes The latest version is available for free download here … New Version of Deep Netts 1.2 Has Been ReleasedRead More »

How a 14-year-old Learned Deep Learning in Java using Deep Netts

I am Jirne Van Rillaer, I am 14 years old and I live in Belgium. At school I follow a course called STEM, this stands for ‘Science Technology Engineering Mathematics’. Programming is a small part of it. In the first year of STEM, we learned to program with a software called Arduino, this is …

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JSR381 Visual Recognition for Java – Machine Learning for Java developers @ NYJUG

We all know Machine Learning (ML) is a huge, long-term global trend that affects every part of the stack from the user to the hardware. All developers, especially Java developers, need to understand how to build apps that use ML Visual Recognition (VisRec) is an important subclass of ML. There are wide business applications …

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From Basic Machine Learning to Deep Learning in 5 Minutes

Deep learning algorithms evolved from well known mathematical procedures, and the idea of this post is to give a brief overview of that evolution. That will give you a big picture and better understanding  how they work in general and what are they used for, without going into heavy math. If you are not …

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Machine Learning Tutorial for Java Developers

What is Machine  Learning? Machine Learning is a computer algorithm that is able to adjust its own internal parameters using sample data, in order to be able to estimate/predict something useful for similar data. The procedure of automatically adjusting internal parameters using sample data is called learning,  training or model building. Once the algorithm has finished …

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Deep Learning Tutorial for Java Developers

We’ve started a series of tutorials with goal to introduce Java developers to deep learning as quick as possible, and give them enough understanding so they can start working on their own projects immediately. The tutorials are designed in such way, that the ony prerequisite knowledge is Java programming. They will map the machine …

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What is project Panama and Why is it important for Machine Learning on Java Platform

 Panama is the new API  for interconnecting Java with native code, which provides Java the ability for faster and easier communication with native libraries required for machine learning applications. The vision is that non-java libraries should be easily accessible to Java developers Very good and easy to follow overview given at the session …

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