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
Easy to use neural network library in java
A Car that Self-Navigates Using Neural Networks Based on Back-Propagation Algorithm
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.
Neural Network project detecting gender from images using backpropagation learning algorithm
Java implementarion for a Backpropagation Feedforward Neural Network with more than one hidden layer
A general-purpose, easily configurable, MLP (multi-layer perceptron) implementing a custom-optimized backpropagation algorithm....
A Back-Propagation implementation using Java that makes hand-written letter recognition.
implementation of Back Propagation Neural Networks
it was designed a neural network designed using Java-Neuroph Library.
A Java implementation of Back Propagation using Java solving the XOR example.
A java Artificial Neural Network based on a multilayered perceptron. It can use Backpropagation and a genetic algorithm for the training
My attempt at making a feed forward neural network that learns through back-propegation.
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