March 27 to 29 2017, Santa Clara, USA.


Speaker "Divya Beeram" Details

Name :
divya beeram
Company :
Title :
Data Scientist
Topic :

Image Quality Assessment using Deep Learning

Abstract :

In this talk, I will give a brief overview on how convolutional neural nets work using Tensor Flow for image classification in a scalable environment. For this session, I will be using an image classification project at Intuit as a case study. At Intuit, we work with highly secure customer tax and accounting data, this creates multiple challenges on how to process/store data and be policy compliant.

This talk will focus on (a) Brief overview of neural nets (b) Convolutional neural nets with Tensor flow (c) Identifying the right network architecture for a business problem (d) Evaluation of the model performance and A/B testing in production. (e) Challenges and Learnings

Profile :
Divya Beeram is a Data Scientist at Intuit; she has worked with Consumer Tax group on entity resolution problems using text mining and user behavior prediction models. Currently, Divya is working with Small Business group and is involved in building predictive models to understand and help small businesses with their financial needs. Divya has a Masters in Software Engineering.

Get latest updates of Global Data Science Conference
sent to your inbox.

Weekly insight from industry insiders.
Plus exclusive content and offers.