Simple MLP (Multi-Layer Perceptron) framework with MNIST example

A Pytorch based Android app, which can sence Digits

A successful attempt at a simple feedforward neural network in Java without external libraries

Neural network that recognizes handwritten digits. You can write your own digits in the app.

A simple implementation of logisitic regression in Java

a Tiny Automatic Differentiation Library for understanding how neural networks works, implemented in pure Java

My first neural network (no external libraries)

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.

A simple Java program that reads in writing to the screen and parses digits, utilising a custom MLP trained on MNIST

Lightweighted NeuralNetwork Framework

Test project for neural networks - Handwritten digit recognition on MNIST dataset

TensorFlow Keras训练手写数字识别集Mnist，生成tflite模型文件并在Android上使用示例

将Mnist手写体识别模型移植安卓demo。

An ImageJ/Fiji port of Leif Jonsson's pure Java t-SNE (https://github.com/lejon/T-SNE-Java)

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

Pure JAVA artificial neural network implementation

ROIAlign is used for object detection, this program shows in a GUI how ROI Align works.

A git repository containing an MLP MNist example using DL4J in Java