An interactive web application using a pre-trained Deep Learning model30 Mar 2018
In one of my earlier posts, I explained about How to build a Web App for a Machine Learning model using Flask micro framework? In this post, I am sharing a full-fledged interactive web application, developed using a pre-trained, deep learning, neural network model - ResNet50, which is trained on ImageNet dataset and bundled with Keras library. The below table lists all the pre-trained models bundled with Keras library. Any of these libraries can be used to build an application instantly:
I used Heroku - A cloud-based, Platform as a Service (PaaS) provider that enables developers to build, run, and operate applications instantly. The code base used to develop this app can be found in my GitHub location.
To access this application in full screen, click here. To have a quick look, refer below:
If you would like to know the step-by-step details of how to create an app, load the files from GitHub, build, and deploy the app in Heroku, leave a note in the Comments section, by clicking this post, and I will get back to you as soon as possible.