DeepNetts is a Java software toolkit for building state-of-the-art visual recognition based on deep learning.
DeepNetts provides Java components and tools that make building visual recognition for Java much faster and easier then using other existing solutions.
In addition to SDK, DeepNetts provides tools to build, test, tweak and deploy visual recognition components.
Additional tools that are needed to understand and debug machine learning models are essential for successful application of visual recognition, and thats where DeepNetts makes BIG difference compared to other solutions.
DeepNetts platform includes high performance multi threaded image processing engine written in pure Java, that speed up development and integration of complete visual recognition solutions not just machine learning model.
DeepNetts tools are available directly from a Java IDE, in order to provide smooth development experience and maximize productivity.
DeepNetts API completely frees developer from dealing with low level details of machine learning algorithms, the underlying implementations, but its also open and provides flexibility for those who want to do that.
Platform provides expert system and meta-machine learning algorithm to help developers without prior experience in machine learning to successfully develop custom solutions.