Webinar: Neuroevolution-based Automated Model Building
Common neural network architectures may work well for known, established data problems; however, they can fall short when modern machine learning applications demand more performance and higher levels of sophistication.
In this webinar, Keith Moore, Director of Product Management at SparkCognition, covers how neural architecture search works, some of the challenges faced in the space, and why an evolutionary approach is capable of discovering sophisticated and elegant designs that fit your data.
He takes you through the journey his team faced on building out better models, provides some real-world examples and implementations, and also shares some of the problems that are yet to be solved.
Fill out this form to read the report: