A simple demonstration for CNN models.
-
Updated
Jun 10, 2017 - JavaScript
A simple demonstration for CNN models.
A food image classifier that uses convolutional neural networks.
Project in several phases to ultimately built an app that translate from human to cats and cats to human using deep learning algorithm
This codebase makes use of CNN at the backend to transfer style from one image to another and then pushes notification on front end
Train an neural network to identify digits written on a canvas
Django Wrapper for MNIST dataset
The project takes as captured image as input and predicted the accurate scene using Convolutional neural network.
Predicts COVID-19 from PA view of X-ray when submitted on the website
A modern application that can classify images for you and will store the classification history.
2017 Spring (105-2) -- Machine Learning
Cough It is an android app that leverages deep learning and acoustics to diagnose COVID-19 infection from cough audio samples.
Character recognition CNN with server based interface.
With a help smart phone camera get access to a web app that will help to identify the ripe and unripe bananas, its just a tech demonstrator for easy sorting of fruits easily.
A web application for classifying clothing photos uploaded by users. It makes use of a deep learning model which is deployed using FastAPI. Achieved 85% accuracy in classifying images.
A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.
Add a description, image, and links to the cnn-keras topic page so that developers can more easily learn about it.
To associate your repository with the cnn-keras topic, visit your repo's landing page and select "manage topics."