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Ubiquitous Neural Networks is a framework and collection of neural network models that stemmed from my PhD Thesis. The original code was completely refactored and is now made available through this project.
It allows you to easily build and train neural networks in Java. It includes a variety of features and tools to help you create powerful and accurate models for your data.
This project does not aim to be a high performance machine learning framework. However, it can be used for:
- learning, experimenting and contributing with new features in machine learning algorithms in the Java language, and;
- performing simple machine learning tasks.