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, the 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.

neuroevolution-based automated model building

Fill out this form to watch the webinar: