G8LOL/NeuralNetwork
Neural network framework with simple FFNN implementation from scratch in Java
This framework helps Java developers implement custom neural network solutions for classification, regression, and prediction tasks. You provide raw data, define the network architecture, and it produces a trained model that can make predictions or classify new data. Developers working on Java-based applications who need to embed simple machine learning capabilities would find this useful.
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Use this if you are a Java developer needing to build a feed-forward neural network from scratch for tasks like basic data classification or predicting outcomes based on numerical inputs.
Not ideal if you need pre-built, production-ready machine learning models or require advanced deep learning architectures like convolutional or recurrent neural networks.
Stars
9
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Language
Java
License
MIT
Category
Last pushed
Apr 13, 2023
Commits (30d)
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