Jasonnor/Backpropagation
Implementing multilayer neural networks through backpropagation using Java.
This tool helps you train and visualize simple neural networks for data classification. You provide multi-dimensional datasets, which are split into training and testing sets. The output is a graphical display of the trained hyperplanes and synaptic weights, showing how the network learned to classify your data. This is useful for students or researchers who want to understand the mechanics of backpropagation.
251 stars. No commits in the last 6 months.
Use this if you are a student or educator looking for a visual, hands-on way to explore and understand how backpropagation neural networks classify multi-dimensional data.
Not ideal if you need to build complex, high-performance machine learning models for real-world applications or work with very large datasets.
Stars
251
Forks
64
Language
Java
License
MIT
Category
Last pushed
Mar 13, 2017
Commits (30d)
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