Image Classification Done Simply Using Keras and TensorFlow

Why watch this?

Are you willing to learn how to build an image classifier using Keras with a TensorFlow backend?

Join the webinar to learn more!

Overview

The fact that computers can see is just not that amazing anymore. But, the techniques for teaching a computer to do this are now simpler and more refined than ever.

In this webinar, Rajiv Shah will describe the process of building an image classifier using Keras with a TensorFlow backend and discuss how to extend the code to your own pictures to make a custom image classifier.

The approach here uses Keras, which is emerging as the best library for building neural networks. The code here also assumes you are using TensorFlow as the underlying library.

The presentation will give a basic understanding of image classification and show the techniques used in industry to build image classifiers.

You will learn:

• How to build a simple convolutional network
• How to augment the data
• How to use a pretrained network
• How to use transfer learning by modifying the last few layers of a pretrained network

The classification will be based on the classic example of classifying cats and dogs. The code for the presentation can be found here.

Who should attend?

This webinar will be of interest to Data Scientists, Software Engineers and Entrepreneurs in the areas of Connected Cars, Internet of Things/Industrial Internet, Medical Devices, Financial Technology (blockchain) and predictive apps/APIs of all sorts.

About the Presenter

Rajiv Shah is a senior data scientist at Caterpillar and an Adjunct Assistant Professor at the University of Illinois at Chicago.

Rajiv is an active member of the data science community in Chicago with an interest into public policy issues, such as surveillance in Chicago.
He has a PhD from the University of Illinois at Urbana Champaign.

You find more of his projects at www.rajivshah.com.