Deep neural network implemented in Java from scratch, without using library/framework.
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Updated
Oct 20, 2017 - Java
Deep neural network implemented in Java from scratch, without using library/framework.
A Java Library for Statistics, Data Analysis and Visualization.
Neural Networks in Java 8 with CuDNN and Aparapi
Java Deep Learning Library
Learn Logistic Regression and implement by Java, also used to solve Kaggle-Titanic predict。
Homeworks from the Solving Optimization Problems Using Evolutionary Computation Algorithms in Java course.
(2018) A machine learning program to predict housing prices based on synthetic data
Java library for nonlinear (constraint) optimization.
This is the java version of the gradient decent algorithm I previously made in python, with original add-ons applied
Implemented various Machine Learning Algorithms in Java
Master 1 student work on " Non linear optimisation"
My second neural network project. You can select the number of hidden layers and the number of neurons in the layers. Dynamic Step is experimental, thus you should keep it disabled. Overall the network is quite inefficient.
A basic program that uses neural networks to classify MNIST handwritten digits.
Implementations of various numerical optimization methods, written in plain Java.
Visualizes back-propagation in a neural network
Introduction to Machine Learning: Machine Problems and Assignments
This is machine learning gradient algorithm written in Java.
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