Object Detection Tensorflow Model | Catch me if you can: AI in Fraud

1. Light food will be provided at the beginning of this meeting.
2. Few job openings will be announced at the meeting. Please bring your resume and prepare to talk at the end of the Meetup if you are interested to know more.

Topic:

1. Building an Object Detection Tensorflow Model Using a Limited Training Set
   This talk is designed to demonstrate how to build a functional Object Detection Tenforflow model using a small or limited training set. Considering Deep Learning use cases require large amount of data, Data Augumentation practices can be utilized to create synthetic training explains required for an adequate training set. This talk will walk the audience through journey of overcoming these issues and build working models.
   Speaker Bio: Ian Brooks Ph.D.

Data Scientist and Solutions Engineer, Cloudera

Ian Brooks holds a Ph.D. in Computer Science, and his current role is a Data Scientist and Solutions Engineer at Cloudera. He has a passion for Machine Learning and Big Data. He currently resides in Arlington VA, but he is a proud Texan.

2. Catch me if you can: AI in Fraud, Waste and Abuse
   Speaker: Cupid Chan