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

Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

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.

手写数字识别移植到Android端

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。

Deep neural network implemented in Java from scratch, without using library/framework.

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

Android application recognizing digits using quantized 8-bit MobileNetV3.

Get 99.13% test accuracy MNIST with only 300 lines of code CNN by JAVA

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

Run the TensorFlow MNIST model in Android application.

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

Based on tensorflow's handwritten digital Android project.

A Neural Network Implementation in Java

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

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

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

Lightweighted NeuralNetwork Framework

Neural network for handwritten digit recognition built from scratch in Java to familiarize myself with the language

Running Keras CNN model on Android.