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Tuesday, October 16 • 11:00am - 11:20am
AI for Software Testing with Deep Learning: Is it possible?

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Using AI for testing software is an emerging field in software engineering. So, how to do it effectively? Yet a big problem to be solved. In this presentation, we will describe how Convolutional Neural Networks (CNN) and Deep Reinforcement Learning can be used for this new endeavor by outlining the challenges, mistakes, and workarounds that we faced to be successful in using AI models to build systems that can really learn from the software they are testing. We will discuss some lessons learned when using pre-trained CNN models, Image Detection APIs and CNN's built from scratch for this purpose.

Speakers
avatar for Emerson Bertolo

Emerson Bertolo

Data Scientist, Stefanini
Data Scientist at Stefanini Rafael Security & Defense Company, with in-depth expertise in data modeling and data extraction in a variety of business scenarios and constraints. For the last 2 years, I deep dived into Machine Learning and Deep Learning by building AI models using a... Read More →


Tuesday October 16, 2018 11:00am - 11:20am
Horace Mann

Attendees (47)