Package provides java implementation of multi-layer perceptron neural network with back-propagation learning algorithm
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Updated
Jan 26, 2018 - Java
Package provides java implementation of multi-layer perceptron neural network with back-propagation learning algorithm
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A general-purpose, easily configurable, MLP (multi-layer perceptron) implementing a custom-optimized backpropagation algorithm....
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A fully functioning neural network made from scratch in Java without the use of any external libraries. Comes with extended functionality such as L2 regularization, Mini-batch gradient descent, variable activation functions, etc. Fully commented for ease of understanding! Now imported to IntelliJ.
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