Dog app for identify the breed of dogs and get info about that breed

Watermelon disease classification with CNN based Android

Android application for deploying mscgNetV2 for agriculture aerial image segmentation. Model used can be found at: https://github.com/henrylao/mscgNetV2

Simple Reader for reading MNIST data files

Aplikasi Deteksi Penyakit Pada Daun Tomat menggunakan CNN

Java based Convolutional Neural Network package running on Apache Spark framework

Android App that uses Neural Networks to Classify Images of Gestures taken by Smartphone Camera

Execute CNNs on multiple mobile Android devices

A smart security camera software with the ability to detect and highlight moving objects in a given frame then classify the image.

Manual implementation and training of a dense CNN in Java, including normalization, validation, and testing, achieving ~5% error on a nonlinear function approximation.

Guide to setup object detection and classification module in Android for running real-time predictions.

Computer Vision project based on GoogLeNet to classify food from pictures (with a nice mobile web app)

This is a repository of the educational project within CS306 Software Engineering course at the University of Mannheim

Creation of Convolution Neural Network and improvement

My first attempt on a Convolutional Neural Network written in Java. The CNN is trained with mnist data to recognize handwritten digits form 0-9

CNN model to label handwritten digits using fog server structure.

Object-Oriented Convolutional Neural Network developed from Scratch.