Homework Assignments for CS 540 - Artificial Intelligence at UW Madison
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Updated
Feb 14, 2020 - Java
Homework Assignments for CS 540 - Artificial Intelligence at UW Madison
My first neural network (no external libraries)
Conjunto de ferramentas para lidar com treinamentos de redes neurais artificiais
Basic implementation of Neural Network made by me
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.
Simple neural network with backpropagation on java
Simple feedforward neural network with back-propagation implemented in java.
Optical Character Recognition Using Neural Networks in Java
implementation of Back Propagation Neural Networks
Deep Learning library.
Neural backpropagation with examples and training (Java)
A simple Java AI library for personal use.
A Java 8 library that implements the back-relationship update feature for a Spring Data REST project
Neural network backpropagation alghoritm implementation.
A deep learning library developed from scratch in Java.
Neural Networks implemented in Java
it was designed a neural network designed using Java-Neuroph Library.
Neural network library created in java from scratch
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