In order to get the best experience for this session, it is highly recommended that attendees bring a laptop with a keyboard, a decent-sized screen, and the latest version of Google Chrome. Additionally, it is recommended that attendees have a basic knowledge of deep learning programming and some experience running a Google CoLab notebook. Having a Gmail account is also helpful. Here are instructions for creating and deleting a Gmail account.

This session will include a deeper dive into data preparation and analysis tasks required to obtain the best results from your deep learning system. It will include a discussion of data cohort makeup, different options for representing the data, how to normalize the data, particularly image data, the various options for data labeling / image annotation and the benefits of each option. Model performance metrics will also be examined. We will discuss the 'after training' aspects of deep learning including validation and testing to ensure that the results are robust and reliable.