Cifar-10

A web app which deploys a MobileNetV2 classifier trained over Cifar 10 dataset using Tensorflow on Heroku. This project uses Flask as backend framework and React as frontend framework. Ant design has been used for a fresh and simple interface.

Installation

• You will require python 3.6, node 10.x and npm 5.x or later to run this project. The simplest way is run this project using docker.
• Use training.ipynb for training a new model from scratch.